A Medical Decision Support System to Assess Risk Factors for Gastric Cancer Based on Fuzzy Cognitive Map.
This study is aimed at providing a medical decision support system based on soft computing using fuzzy cognitive maps (FCMs) which will help healthcare professionals to decide on an appropriate individual healthcare strategy based on the risk level of the disease. FCMs are considered as one of the strongest artificial intelligence techniques for complex system modeling. In this system, an FCM based on Nonlinear Hebbian Learning (NHL) algorithm is used. The data used in this study are collected from the medical records of 560 patients referring to Imam Reza Hospital in Tabriz City. 27 effective features in gastric cancer we...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy.
Authors: Mayanja E, Luboobi LS, Kasozi J, Nsubuga RN Abstract Globally, it is estimated that of the 36.7 million people infected with human immunodeficiency virus (HIV), 6.3% are coinfected with hepatitis C virus (HCV). Coinfection with HIV reduces the chance of HCV spontaneous clearance. In this work, we formulated and analysed a deterministic model to study the HIV and HCV coinfection dynamics in absence of therapy. Due to chronic stage of HCV infection being long, asymptomatic, and infectious, our model formulation was based on the splitting of the chronic stage into the following: before onset of cirrhosis and ...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data.
Authors: Zhang J, Xue L Abstract Semiparametric generalized varying coefficient partially linear models with longitudinal data arise in contemporary biology, medicine, and life science. In this paper, we consider a variable selection procedure based on the combination of the basis function approximations and quadratic inference functions with SCAD penalty. The proposed procedure simultaneously selects significant variables in the parametric components and the nonparametric components. With appropriate selection of the tuning parameters, we establish the consistency, sparsity, and asymptotic normality of the resulti...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Mathematical Model to Study the Effectiveness of Some of the Strategies Adopted in Curtailing the Spread of COVID-19.
Authors: Baba IA, Baba BA, Esmaili P Abstract In this paper, we developed a model that suggests the use of robots in identifying COVID-19-positive patients and which studied the effectiveness of the government policy of prohibiting migration of individuals into their countries especially from those countries that were known to have COVID-19 epidemic. Two compartmental models consisting of two equations each were constructed. The models studied the use of robots for the identification of COVID-19-positive patients. The effect of migration ban strategy was also studied. Four biologically meaningful equilibrium points...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection.
Authors: Huang X, Chen M, Liu P, Du Y Abstract Prostate cancer is one of the most common cancers in men. Early detection of prostate cancer is the key to successful treatment. Ultrasound imaging is one of the most suitable methods for the early detection of prostate cancer. Although ultrasound images can show cancer lesions, subjective interpretation is not accurate. Therefore, this paper proposes a transrectal ultrasound image analysis method, aiming at characterizing prostate tissue through image processing to evaluate the possibility of malignant tumours. Firstly, the input image is preprocessed by optical densi...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Effects of Single-Nucleotide Polymorphisms in Calmodulin-Dependent Protein Kinase Kinase 2 (CAMKK2): A Comprehensive Study.
Authors: Khalid Z, Almaghrabi O Abstract Calmodulin-dependent protein kinase kinase 2 (CAMKK2) is a protein kinase that belongs to the serine/threonine kinase family. It phosphorylates kinases like CAMK1, CAMK2, and AMP, and this signaling cascade is involved in various biological processes including cell proliferation, apoptosis, and proliferation. Also, the CAMKK2 signaling activity is required for the healthy activity of the brain which otherwise can cause diseases like bipolar disorders and anxiety. The current study is based on in silico bioinformatics analysis that combines sequence- and structure-based predi...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Transcriptome Analysis Identifies Novel Prognostic Genes in Osteosarcoma.
Authors: Chen J, Guo X, Zeng G, Liu J, Zhao B Abstract Osteosarcoma (OS), a malignant primary bone tumor often seen in young adults, is highly aggressive. The improvements in high-throughput technologies have accelerated the identification of various prognostic biomarkers for cancer survival prediction. However, only few studies focus on the prediction of prognosis in OS patients using gene expression data due to small sample size and the lack of public datasets. In the present study, the RNA-seq data of 82 OS samples, along with their clinical information, were collected from the TARGET database. To identify the p...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Identification of an Epidemiological Model to Simulate the COVID-19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search.
Authors: Lobato FS, Libotte GB, Platt GM Abstract Traditionally, the identification of parameters in the formulation and solution of inverse problems considers that models, variables, and mathematical parameters are free of uncertainties. This aspect simplifies the estimation process, but does not consider the influence of relatively small changes in the design variables in terms of the objective function. In this work, the SIDR (Susceptible, Infected, Dead, and Recovered) model is used to simulate the dynamic behavior of the novel coronavirus disease (COVID-19), and its parameters are estimated by formulating a ro...
Source: Computational and Mathematical Methods in Medicine - October 22, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images.
Authors: Wei M, Du Y, Wu X, Su Q, Zhu J, Zheng L, Lv G, Zhuang J Abstract The classification of benign and malignant based on ultrasound images is of great value because breast cancer is an enormous threat to women's health worldwide. Although both texture and morphological features are crucial representations of ultrasound breast tumor images, their straightforward combination brings little effect for improving the classification of benign and malignant since high-dimensional texture features are too aggressive so that drown out the effect of low-dimensional morphological features. For that, an efficient texture a...
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Comprehensive Analysis of Immunoinhibitors Identifies LGALS9 and TGFBR1 as Potential Prognostic Biomarkers for Pancreatic Cancer.
In this study, we investigated the distinct expression and prognostic value of immunoinhibitors in patients with PC by analyzing a series of databases, including TISIDB, GEPIA, cBioPortal, and Kaplan-Meier plotter database. The mRNA expression levels of IDO1, CSF1R, VTCN1, KDR, LGALS9, TGFBR1, TGFB1, IL10RB, and PVRL2 were found to be significantly upregulated in patients with PC. Aberrant expression of TGFBR1, VTCN1, and LGALS9 was found to be associated with the worse outcomes of patients with PC. Bioinformatics analysis demonstrated that LGALS9 was involved in regulating the type I interferon signaling pathway, interfer...
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue.
Authors: Seo S, Park J Abstract Recently, the hair loss population, alopecia areata patients, is increasing due to various unconfirmed reasons such as environmental pollution and irregular eating habits. In this paper, we introduce an algorithm for preventing hair loss and scalp self-diagnosis by extracting HLF (hair loss feature) based on the scalp image using a microscope that can be mounted on a smart device. We extract the HLF by combining a scalp image taken from the microscope using grid line selection and eigenvalue. First, we preprocess the photographed scalp images using image processing to adjust the cont...
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores.
Conclusion: Patients with DRF could draw support from different kinds of APPs in order to fulfill personal need and promote self-management. Intelligent rehabilitation APPs play a positive role in the rehabilitation of patients, but the acceptance of the utilization for intelligent rehabilitation APPs is relatively low, which might need follow-up research to address the conundrum. PMID: 33062041 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

EEG-Based Epilepsy Recognition via Multiple Kernel Learning.
In this study, a style regularized least squares support vector machine based on multikernel learning is proposed and applied to the recognition of epilepsy abnormal signals. The algorithm uses the style conversion matrix to represent the style information contained in the sample, regularizes it in the objective function, optimizes the objective function through the commonly used alternative optimization method, and simultaneously updates the style conversion matrix and classifier during the iteration process parameter. In order to use the learned style information in the prediction process, two new rules are added to the ...
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Mathematical Model to Investigate the Transmission of COVID-19 in the Kingdom of Saudi Arabia.
Authors: Alshammari FS Abstract Since the first confirmed case of SARS-CoV-2 coronavirus (COVID-19) on March 02, 2020, Saudi Arabia has not reported quite a rapid COVD-19 spread as seen in America and many European countries. Possible causes include the spread of asymptomatic COVID-19 cases. To characterize the transmission of COVID-19 in Saudi Arabia, a susceptible, exposed, symptomatic, asymptomatic, hospitalized, and recovered dynamical model was formulated, and a basic analysis of the model is presented including model positivity, boundedness, and stability around the disease-free equilibrium. It is found that ...
Source: Computational and Mathematical Methods in Medicine - October 21, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Assessment of the Potential Adverse Events Related to Ribavirin-Interferon Combination for Novel Coronavirus Therapy.
Conclusion: The ADE (adverse drug event) signal detection based on FAERS is helpful to clarify the potential adverse events related to ribavirin-interferon combination for novel coronavirus therapy; clinicians should pay attention to the adverse reactions of gastrointestinal and blood systems, closely monitor the fluctuations of the platelet count, and carry out necessary mental health interventions to avoid serious adverse events. PMID: 33029193 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - October 9, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Identification of the Key Genes Involved in the Effect of Folic Acid on Endothelial Progenitor Cell Transcriptome of Patients with Type 1 Diabetes.
Authors: Lu Y, Yang Q, Hu W, Dong J Abstract Type 1 diabetes (T1D) is one of the most common autoimmune diseases in children. Previous studies have suggested that endothelial progenitor cells (EPCs) might be engaged in the regulating of the biological processes in T1D and folic acid (FA) might be engaged in regulating EPC function. The present study has identified 716 downregulated genes and 617 upregulated genes in T1D EPC cases after treated with FA. Bioinformatics analysis has shown that these DEGs were engaged in regulating metabolic processes, cell proliferation-related processes, bone marrow development, cell...
Source: Computational and Mathematical Methods in Medicine - October 9, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Identifying Heat Shock Protein Families from Imbalanced Data by Using Combined Features.
Authors: Jing XY, Li FM Abstract Heat shock proteins (HSPs) are ubiquitous in living organisms. HSPs are an essential component for cell growth and survival; the main function of HSPs is controlling the folding and unfolding process of proteins. According to molecular function and mass, HSPs are categorized into six different families: HSP20 (small HSPS), HSP40 (J-proteins), HSP60, HSP70, HSP90, and HSP100. In this paper, improved methods for HSP prediction are proposed-the split amino acid composition (SAAC), the dipeptide composition (DC), the conjoint triad feature (CTF), and the pseudoaverage chemical shift (Ps...
Source: Computational and Mathematical Methods in Medicine - October 9, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil.
Authors: Savi PV, Savi MA, Borges B Abstract This paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptible-exposed-infectious-removed model. Initially, a model verification is carried out calibrating system parameters with data from China, Italy, Iran, and Brazil. Results show the model capability to predict infectious evolution. Afterward, numerical simulations are performed in order to analyze different scenarios of COVID-19 in Brazil. Results show the importance of the governmental and individual...
Source: Computational and Mathematical Methods in Medicine - October 9, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Computational Model to Investigate GABA-Activated Astrocyte Modulation of Neuronal Excitation.
Authors: Li L, Zhou J, Sun H, Liu J, Wang H, Liu X, Wang C Abstract Gamma-aminobutyric acid (GABA) is critical for proper neural network function and can activate astrocytes to induce neuronal excitability; however, the mechanism by which astrocytes transform inhibitory signaling to excitatory enhancement remains unclear. Computational modeling can be a powerful tool to provide further understanding of how GABA-activated astrocytes modulate neuronal excitation. In the present study, we implemented a biophysical neuronal network model to investigate the effects of astrocytes on excitatory pre- and postsynaptic termi...
Source: Computational and Mathematical Methods in Medicine - October 6, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence.
In this study, we review the diagnosis of COVID-19 by using chest CT toward AI. We searched ArXiv, MedRxiv, and Google Scholar using the terms "deep learning", "neural networks", "COVID-19", and "chest CT". At the time of writing (August 24, 2020), there have been nearly 100 studies and 30 studies among them were selected for this review. We categorized the studies based on the classification tasks: COVID-19/normal, COVID-19/non-COVID-19, COVID-19/non-COVID-19 pneumonia, and severity. The sensitivity, specificity, precision, accuracy, area under the curve, and F1 score results were r...
Source: Computational and Mathematical Methods in Medicine - October 6, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Circular RNA CircITGA7 Promotes Tumorigenesis of Osteosarcoma via miR-370/PIM1 Axis.
In this study, qRT-PCR was used to detect the expression of circITGA7, miR-370, and PIM1 mRNA in OS tissues and cells. The CCK-8 assay was used to detect the effect of circITGA7 on cell proliferation. Later, the transwell assay was used to detect cell migration and invasion. The dual-luciferase reporter assay confirmed the existence of the targeting relationship between circITGA7 and miR-370, and miR-370 and PIM1. We found that circITGA7 was upregulated in OS tissues and cell lines. Knockdown of circITGA7 weakened the cell's ability to proliferate and metastasize. Furthermore, we observed that miR-370 was negatively regula...
Source: Computational and Mathematical Methods in Medicine - September 25, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model.
Authors: Zhang X, Yu Y, Xiong F, Luo L Abstract This paper is aimed at establishing a combined prediction model to predict the demand for medical care in terms of daily visits in an outpatient blood sampling room, which provides a basis for rational arrangement of human resources and planning. On the basis of analyzing the comprehensive characteristics of the randomness, periodicity, trend, and day-of-the-week effects of the daily number of blood collections in the hospital, we firstly established an autoregressive integrated moving average model (ARIMA) model to capture the periodicity, volatility, and trend, and ...
Source: Computational and Mathematical Methods in Medicine - September 25, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Intensity-Modulated Radiation Therapy Optimization for Acceptable and Remaining-One Unacceptable Dose-Volume and Mean-Dose Constraint Planning.
Authors: Nakada R, Abou Al-Ola OM, Yoshinaga T Abstract We give a novel approach for obtaining an intensity-modulated radiation therapy (IMRT) optimization solution based on the idea of continuous dynamical methods. The proposed method, which is an iterative algorithm derived from the discretization of a continuous-time dynamical system, can handle not only dose-volume but also mean-dose constraints directly in IMRT treatment planning. A theoretical proof for the convergence to an equilibrium corresponding to the desired IMRT planning is given by using the Lyapunov stability theorem. By introducing the concept of &...
Source: Computational and Mathematical Methods in Medicine - September 25, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Controlling the Spread of COVID-19: Optimal Control Analysis.
Authors: Madubueze CE, Dachollom S, Onwubuya IO Abstract Coronavirus disease 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS CoV-2). It was declared on March 11, 2020, by the World Health Organization as pandemic disease. The disease has neither approved medicine nor vaccine and has made governments and scholars search for drastic measures in combating the pandemic. Regrettably, the spread of the virus and mortality due to COVID-19 has continued to increase daily. Hence, it is imperative to control the spread of the disease particularly using nonpharmacological strategie...
Source: Computational and Mathematical Methods in Medicine - September 25, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Long Noncoding RNA HAGLROS Promotes Cell Invasion and Metastasis by Sponging miR-152 and Upregulating ROCK1 Expression in Osteosarcoma.
Conclusion: In summary, our study indicated that HAGLROS could promote osteosarcoma progression by sponging miR-152 to promote ROCK1 expression. The results showed HAGLROS/miR-152/ROCK1 axis might act as a novel therapeutic strategy for osteosarcoma. PMID: 32963586 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 25, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN.
Authors: Jiang X, Zeng Y, Xiao S, He S, Ye C, Qi Y, Zhao J, Wei D, Hu M, Chen F Abstract An artificial stent implantation is one of the most effective ways to treat coronary artery diseases. It is vital in vascular medical imaging, such as intravascular optical coherence tomography (IVOCT), to be able to track the position of stents in blood vessels effectively. We trained two models, the "You Only Look Once" version 3 (YOLOv3) and the Region-based Fully Convolutional Network (R-FCN), to detect metal support struts in IVOCT, respectively. After rotating the original images in the training set for data aug...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.
Authors: Zhang Y, Liu Y, Zhu J, Zhai S, Jin R, Wen C Abstract The Traditional Chinese Medicine (TCM) formula is the main treatment method of TCM. A formula often contains multiple herbs where core herbs play a critical therapeutic effect for treating diseases. It is of great significance to find out the core herbs in formulae for providing evidences and references for the clinical application of Chinese herbs and formulae. In this paper, we propose a core herb discovery model CHDSC based on semantic analysis and community detection to discover the core herbs for treating a certain disease from large-scale literatur...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Comprehensive Analysis of Differentially Expressed circRNAs Reveals a Colorectal Cancer-Related ceRNA Network.
In this study, these methods were analyzed to obtain differentially expressed circRNAs (DECs). We identified upregulated 316 circRNAs and reduced 76 circRNAs in CRC samples, in comparison with those in normal tissues. In addition, a competitive endogenous network of circRNA-miRNA-mRNA was established to predict the mechanisms of circRNAs. Bioinformatics analysis revealed that these circRNAs participated in metabolism regulation and cell cycle progression. Of note, we observed the hub genes and miRNAs in this ceRNA network were associated with the survival time in CRC. We think this study could provide potential prognostic ...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.
Authors: Huang PJ, Chang JH, Lin HH, Li YX, Lee CC, Su CT, Li YL, Chang MT, Weng S, Cheng WH, Chiu CH, Tang P Abstract Although sequencing a human genome has become affordable, identifying genetic variants from whole-genome sequence data is still a hurdle for researchers without adequate computing equipment or bioinformatics support. GATK is a gold standard method for the identification of genetic variants and has been widely used in genome projects and population genetic studies for many years. This was until the Google Brain team developed a new method, DeepVariant, which utilizes deep neural networks to construc...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

miR-152-3p Affects the Progression of Colon Cancer via the KLF4/IFITM3 Axis.
Conclusion: In sum, we discovered that miR-152-3p can affect the pathogenesis of colon cancer via the KLF4/IFITM3 axis. PMID: 32952601 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.
Conclusion: We developed and compared five models for the detection of lesions in white light endoscopic images. ResNet50 showed the optimal performance, and Mask R-CNN model could be used to locate and classify lesions in images containing lesions. PMID: 32952602 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Probabilistic Patient Scheduling Model with Time Variable Slots.
Authors: Carreras-García D, Delgado-Gómez D, Baca-García E, Artés-Rodriguez A Abstract One of the current challenges faced by health centers is to reduce the number of patients who do not attend their appointments. The existence of these patients causes the underutilization of the center's services, which reduces their income and extends patient's access time. In order to reduce these negative effects, several appointment scheduling systems have been developed. With the recent availability of electronic health records, patient scheduling systems that incorporate the patient's no-show pre...
Source: Computational and Mathematical Methods in Medicine - September 23, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Model for SARS-CoV-2 Infection with Treatment.
This study shows that the proper dosing interval and drug dose both are important to eradicate the viral infection. PMID: 32908574 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Lag-Based Filtered-Delay Multiply and Sum Beamformer Combined with Two Phase-Related Factors for Medical Ultrasound Imaging.
Authors: Song K, Liu P, Liu DC Abstract A novel adaptive beamformer named filtered-delay multiply and sum (F-DMAS) has recently been proposed. Compared to the delay and sum (DAS) beamforming algorithm, F-DMAS can efficiently improve the resolution and contrast. However, the DAS can still be seen in the expansion of DMAS. Therefore, we rearrange the pair-wised signals in terms of lag in DMAS and then synthesize a lot of new signals. Thanks to the relationship between the spatial coherence and lag, these new signals can be thought of as sorted by the spatial coherence. Thus, we apply two phase-related factors, the po...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks.
Authors: Zhang K, Xu G, Chen L, Tian P, Han C, Zhang S, Duan N Abstract In the process of brain-computer interface (BCI), variations across sessions/subjects result in differences in the properties of potential of the brain. This issue may lead to variations in feature distribution of electroencephalogram (EEG) across subjects, which greatly reduces the generalization ability of a classifier. Although subject-dependent (SD) strategy provides a promising way to solve the problem of personalized classification, it cannot achieve expected performance due to the limitation of the amount of data especially for a deep ne...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

lncRNA-SNHG14 Promotes Atherosclerosis by Regulating ROR α Expression through Sponge miR-19a-3p.
In conclusion, we demonstrated that lncRNA-SNHG14 regulates the apoptosis/proliferation balance of VSMCs in atherosclerosis. PMID: 32908577 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Comparison of the Therapeutic Effects of Tension Band with Cannulated Screw and Tension Band with Kirschner Wire on Patella Fracture.
This study aimed at comparing the therapeutic effects of the cannulated screw and Kirschner wire tension bands on patella fracture and at providing more data basis for clinical selection of treatment methods for patella fracture. Methods: Altogether, 146 patients with displaced patella fracture admitted to our hospital from March 2016 to February 2018 were selected and divided into two groups according to the different treatment methods. Among them, 71 patients received tension band with a cannulated screw (TBWCS group) and 75 patients received tension band with Kirschner wire (TBWKW group). Two groups of patients were...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Discovery of Prognostic Signature Genes for Overall Survival Prediction in Gastric Cancer.
Conclusion: In conclusion, we aimed at developing a model to predict the prognosis of gastric cancer. The predictive model could not only effectively predict the risk of GC but also be beneficial to the development of therapeutic strategies. PMID: 32908579 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Design and Development of Virtual Medical System Interface Based on VR-AR Hybrid Technology.
This article uses virtual reality technology and augmented reality technology to develop a virtual medical system interface, which aims to solve the interaction problem between users and virtual medical systems and satisfy users. The multidemand psychology is an effective way of interaction. It provides users with a multichannel and comprehensive communication method, which truly meets the design goals that meet the user's psychological needs. It also expands applications for virtual reality technology and augmented reality technology. PMID: 32908580 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.
Authors: Wang H, Han G, Li H, Tao G, Zhuo E, Liu L, Cai H, Ou Y Abstract Nasopharyngeal carcinoma (NPC) is the most common malignant tumor of the nasopharynx. The delicate nature of the nasopharyngeal structures means that noninvasive magnetic resonance imaging (MRI) is the preferred diagnostic technique for NPC. However, NPC is a typically infiltrative tumor, usually with a small volume, and thus, it remains challenging to discriminate it from tightly connected surrounding tissues. To address this issue, this study proposes a voxel-wise discriminate method for locating and segmenting NPC from normal tissues in MRI...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Construction of circRNA-Associated ceRNA Network Reveals Novel Biomarkers for Esophageal Cancer.
Conclusion: We thought this study could provide novel biomarkers for the prognosis of ESCC. PMID: 32908582 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling.
Authors: Bu L, Wang ZW, Hu SQ, Zhao WJ, Geng XJ, Zhou T, Zhuo L, Chen XB, Sun Y, Wang YL, Li XM Abstract Neonatal sepsis is one of the most prevalent causes of death of the neonates. However, the mechanisms underlying neonatal sepsis remained unclear. The present study identified a total of 1128 upregulated mRNAs and 1008 downregulated mRNAs, 28 upregulated lncRNAs, and 61 downregulated lncRNAs in neonatal sepsis. Then, we constructed PPI networks to identify key regulators in neonatal sepsis, including ITGAM, ITGAX, TLR4, ITGB2, SRC, ELANE, RPLP0, RPS28, RPL26, and RPL27. lncRNA coexpression analysis showed HS.294...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Utility-Based Multicriteria Model for Screening Patients under the COVID-19 Pandemic.
Authors: Roselli LRP, Frej EA, Ferreira RJP, Alberti AR, de Almeida AT Abstract In this paper, a utility-based multicriteria model is proposed to support the physicians to deal with an important medical decision-the screening decision problem-given the squeeze put on resources due to the COVID-19 pandemic. Since the COVID-19 emerged, the number of patients with an acute respiratory failure has increased in the health units. This chaotic situation has led to a deficiency in health resources. Thus, this study, using the concepts of the multiattribute utility theory (MAUT), puts forward a mathematical model to aid phy...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Optimal Control of Shigellosis with Cost-Effective Strategies.
Authors: Edward S, Shaban N, Mureithi E Abstract In this paper, we apply optimal control theory to the model for shigellosis. It is assumed that education campaign, sanitation, and treatment are the main controls for this disease. The aim is to minimize the number of infections resulting from contact with careers, infectious population, and contaminated environments while keeping the cost of associated controls minimum. We achieve this aim through the application of Pontryagin's Maximum Principle. Numerical simulations are carried out by using both forward and backward in time fourth-order Runge-Kutta schemes. We s...
Source: Computational and Mathematical Methods in Medicine - September 12, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Functional Modular Network Identifies the Key Genes of Preoperative Inhalation Anesthesia and Intravenous Anesthesia in Off-Pump Coronary Artery Bypass Grafting.
This study, based on a functional module network, analysed the effects of preoperative inhalation anesthesia and intravenous anesthesia on OPCABG and performed a pivot analysis of its potential drug regulators. We obtained microarray data of sevoflurane anesthesia and propofol anesthesia from the GEO database and analysed the difference between the two groups of data, resulting in 5701 and 3210 differential genes to construct the expression matrix. WGCNA analysis showed that sevoflurane anesthesia clustered into 7 functional disorder modules, including PDCD6IP, WDR3, and other core genes; propofol anesthesia clustered to f...
Source: Computational and Mathematical Methods in Medicine - September 5, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries.
In this study, a new data decision-making intelligent system for prostate cancer based on perceptron neural network is proposed, which mainly makes decisions by associating some relevant disease indicators and combining them with medical images. Through data collection, analysis and integration of medical data, as well as the disease detection and decision-making process, patients are given an auxiliary diagnosis and treatment, so as to solve the problems and social contradictions faced by most developing countries. Through the study of hospitalization information of more than 8,000 prostate patients in three hospitals, ab...
Source: Computational and Mathematical Methods in Medicine - September 5, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Integrated Genome-Wide Methylation and Expression Analyses Reveal Key Regulators in Osteosarcoma.
In conclusion, this study identified 18 downregulated hypomethylation genes and 52 upregulated hypomethylation genes in OS by integrating the analysis the GSE97529 and GSE42572 datasets. Bioinformatics analysis revealed that OS-specific methylated genes were involved in regulating multiple biological processes, including chemical synaptic transmission, transcription, response to drug, and regulating immune response. KEGG pathway analysis showed that OS-specific methylated genes were associated with the regulation of Hippo, cAMP calcium, MAPK, and Wnt signaling pathways. By analyzing R2 datasets, this study showed that the ...
Source: Computational and Mathematical Methods in Medicine - August 30, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients.
Authors: Zuo H, Ling Y, Li P, An Q, Zhou X Abstract Background: Some adult patients with Tetralogy of Fallot (TOF) were found to simultaneously develop ascending aortic dilation. Severe aortic dilation would lead to several aortic diseases, including aortic aneurysm and dissection, which seriously affect patients' living quality and even cause patients' death. Current practice guidelines of aortic-dilation-related diseases mainly focus on aortic diameter, which has been found not always a good indicator. Therefore, it may be clinically useful to identify some other factors that can potentially better predict aortic...
Source: Computational and Mathematical Methods in Medicine - August 29, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.
Authors: Wang Y, Wu Q, Wang C, Ruan Q Abstract In the past few decades, identification recognition based on electroencephalography (EEG) has received extensive attention to resolve the security problems of conventional biometric systems. In the present study, a novel EEG-based identification system with different entropy and a continuous convolution neural network (CNN) classifier is proposed. The performance of the proposed method is experimentally evaluated through the emotional EEG data. The conducted experiment shows that the proposed method approaches the stunning accuracy (ACC) of 99.7% on average and can rap...
Source: Computational and Mathematical Methods in Medicine - August 29, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.
Authors: Yao Y, Cui Z Abstract Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transient brain dysfunction. The seizures of epilepsy have the characteristics of being sudden and repetitive, which has seriously endangered patients' health, cognition, etc. In the current condition, EEG plays a vital role in the diagnosis, judgment, and qualitative location of epilepsy among the clinical diagnosis of various epileptic seizures and is an indispensable means of detection. The study of the EEG signals of patients with epilepsy can provide a strong basis and useful information f...
Source: Computational and Mathematical Methods in Medicine - August 26, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research