PAR2 Promoter Hypomethylation Regulates PAR2 Gene Expression and Promotes Lung Adenocarcinoma Cell Progression
CONCLUSION: In sum, PAR2 promoter hypomethylation potentiates LUAD cell progression, in turn affecting the prognosis of LUAD patients.PMID:33968158 | PMC:PMC8081642 | DOI:10.1155/2021/5542485 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - May 10, 2021 Category: Statistics Authors: Kuan Wu Lei Xu Ling Cheng Source Type: research

Monitoring Mortality Caused by COVID-19 Using Gamma-Distributed Variables Based on Generalized Multiple Dependent State Sampling
Comput Math Methods Med. 2021 Apr 22;2021:6634887. doi: 10.1155/2021/6634887. eCollection 2021.ABSTRACTMore recently in statistical quality control studies, researchers are paying more attention to quality characteristics having nonnormal distributions. In the present article, a generalized multiple dependent state (GMDS) sampling control chart is proposed based on the transformation of gamma quality characteristics into a normal distribution. The parameters for the proposed control charts are obtained using in-control average run length (ARL) at specified shape parametric values for different specified average run lengths...
Source: Computational and Mathematical Methods in Medicine - May 10, 2021 Category: Statistics Authors: Muhammad Aslam G Srinivasa Rao Muhammad Saleem Rehan Ahmad Khan Sherwani Chi-Hyuck Jun Source Type: research

Pneumonia Detection Using an Improved Algorithm Based on Faster R-CNN
Comput Math Methods Med. 2021 Apr 21;2021:8854892. doi: 10.1155/2021/8854892. eCollection 2021.ABSTRACTPneumonia remains a threat to human health; the coronavirus disease 2019 (COVID-19) that began at the end of 2019 had a major impact on the world. It is still raging in many countries and has caused great losses to people's lives and property. In this paper, we present a method based on DeepConv-DilatedNet of identifying and localizing pneumonia in chest X-ray (CXR) images. Two-stage detector Faster R-CNN is adopted as the structure of a network. Feature Pyramid Network (FPN) is integrated into the residual neural network...
Source: Computational and Mathematical Methods in Medicine - May 10, 2021 Category: Statistics Authors: Shangjie Yao Yaowu Chen Xiang Tian Rongxin Jiang Source Type: research

Systematic Identification of Survival-Associated Alternative Splicing Events in Kidney Renal Clear Cell Carcinoma
In this study, we obtained the level-3 RNA sequencing and clinical data of KIRC from The Cancer Genome Atlas (TGCA). Combining with the splicing event detail information from TGCA SpliceSeq database, we established the independent prognosis signatures for KIRC with the univariate and multivariate Cox regression analyses. Then, we used the Kaplan-Meier analysis and receiver operating characteristic curves (ROCs) to assess the accuracy of prognosis signatures. We also constructed the regulatory network of splicing factors (SFs) and AS events. Our results showed that a total of 12029 survival-associated AS events of 5761 gene...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Yubin Wei Zheng Zhang Rui Peng Yan Sun Luyu Zhang Handeng Liu Source Type: research

Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study
Comput Math Methods Med. 2021 Apr 17;2021:6614520. doi: 10.1155/2021/6614520. eCollection 2021.ABSTRACTMigraine seriously affects the physical and mental health of patients because of its recurrence and the hypersensitivity to the environment that it causes. However, the pathogenesis and pathophysiology of migraine are not fully understood. We addressed this issue in the present study using an autodynamic functional connectome model (A-DFCM) with twice-clustering to compare dynamic functional connectome patterns (DFCPs) from resting-state functional magnetic resonance imaging data from migraine patients and normal control ...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Weifang Nie Weiming Zeng Jiajun Yang Yuhu Shi Le Zhao Ying Li Dunyao Chen Jin Deng Nizhuan Wang Source Type: research

Systematic Identification of Survival-Associated Alternative Splicing Events in Kidney Renal Clear Cell Carcinoma
In this study, we obtained the level-3 RNA sequencing and clinical data of KIRC from The Cancer Genome Atlas (TGCA). Combining with the splicing event detail information from TGCA SpliceSeq database, we established the independent prognosis signatures for KIRC with the univariate and multivariate Cox regression analyses. Then, we used the Kaplan-Meier analysis and receiver operating characteristic curves (ROCs) to assess the accuracy of prognosis signatures. We also constructed the regulatory network of splicing factors (SFs) and AS events. Our results showed that a total of 12029 survival-associated AS events of 5761 gene...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Yubin Wei Zheng Zhang Rui Peng Yan Sun Luyu Zhang Handeng Liu Source Type: research

Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study
Comput Math Methods Med. 2021 Apr 17;2021:6614520. doi: 10.1155/2021/6614520. eCollection 2021.ABSTRACTMigraine seriously affects the physical and mental health of patients because of its recurrence and the hypersensitivity to the environment that it causes. However, the pathogenesis and pathophysiology of migraine are not fully understood. We addressed this issue in the present study using an autodynamic functional connectome model (A-DFCM) with twice-clustering to compare dynamic functional connectome patterns (DFCPs) from resting-state functional magnetic resonance imaging data from migraine patients and normal control ...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Weifang Nie Weiming Zeng Jiajun Yang Yuhu Shi Le Zhao Ying Li Dunyao Chen Jin Deng Nizhuan Wang Source Type: research

Systematic Identification of Survival-Associated Alternative Splicing Events in Kidney Renal Clear Cell Carcinoma
In this study, we obtained the level-3 RNA sequencing and clinical data of KIRC from The Cancer Genome Atlas (TGCA). Combining with the splicing event detail information from TGCA SpliceSeq database, we established the independent prognosis signatures for KIRC with the univariate and multivariate Cox regression analyses. Then, we used the Kaplan-Meier analysis and receiver operating characteristic curves (ROCs) to assess the accuracy of prognosis signatures. We also constructed the regulatory network of splicing factors (SFs) and AS events. Our results showed that a total of 12029 survival-associated AS events of 5761 gene...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Yubin Wei Zheng Zhang Rui Peng Yan Sun Luyu Zhang Handeng Liu Source Type: research

Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study
Comput Math Methods Med. 2021 Apr 17;2021:6614520. doi: 10.1155/2021/6614520. eCollection 2021.ABSTRACTMigraine seriously affects the physical and mental health of patients because of its recurrence and the hypersensitivity to the environment that it causes. However, the pathogenesis and pathophysiology of migraine are not fully understood. We addressed this issue in the present study using an autodynamic functional connectome model (A-DFCM) with twice-clustering to compare dynamic functional connectome patterns (DFCPs) from resting-state functional magnetic resonance imaging data from migraine patients and normal control ...
Source: Computational and Mathematical Methods in Medicine - May 7, 2021 Category: Statistics Authors: Weifang Nie Weiming Zeng Jiajun Yang Yuhu Shi Le Zhao Ying Li Dunyao Chen Jin Deng Nizhuan Wang Source Type: research

The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury
In this study, we identified the differentially expressed genes (DEGs) following TBI. Remarkably, Serpina3n, Asf1b, Folr1, LOC100366216, Clec12a, Olr1, Timp1, Hspb1, Lcn2, and Spp1 were identified as the top 10 with the highest statistical significance. The weighted gene coexpression analysis (WGCNA) identified 12 functional modules from the DEGs, which showed specific expression patterns over time and were characterized by enrichment analysis. Specifically, the black and turquoise modules were mainly involved in energy metabolism and protein translation. The green yellow and yellow modules including Hmox1, Mif, Anxa2, Tim...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Zhi-Jie Zhao Dong-Po Wei Rui-Zhe Zheng Tinghua Peng Xiang Xiao Fu-Sheng Li Source Type: research

The Novel Regulatory Role of lncRNA-miRNA-mRNA Axis in Amyotrophic Lateral Sclerosis: An Integrated Bioinformatics Analysis
In this study, a competitive endogenous RNA (ceRNA) network was constructed by analyzing the expression profiles of messenger RNAs (mRNAs) and long noncoding RNAs (lncRNAs) that were matched by 7 ALS samples and 4 control samples, and then a protein-protein interaction (PPI) network was constructed to identify the genes related to ALS. Gene Ontology (GO) was used to study the potential functions of differentially expressed mRNAs (DEmRNAs) in the ceRNA network. For the ALS and control groups, 247177 potential lncRNA-mRNA ceRNA relationship pairs were screened. Analysis of significant relationship pairs demonstrated that the...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Dingsheng Liu Xiaojia Zuo Peng Zhang Rui Zhao Donglin Lai Kaijie Chen Yuru Han Guoqing Wan Yanjun Zheng Changlian Lu Xuefeng Gu Source Type: research

Increased miR-188-3p in Ovarian Granulosa Cells of Patients with Polycystic Ovary Syndrome
Comput Math Methods Med. 2021 Apr 15;2021:5587412. doi: 10.1155/2021/5587412. eCollection 2021.ABSTRACTMicroRNA-target networks are often dysregulated in diseases. Our purpose is to investigate this dysregulation of polycystic ovary syndrome (PCOS). Through the bioinformatics reanalysis of the public RNAseq dataset, we found that miR-188-3p was the miRNA with the highest induction rate, and indicated that miR-188-3p might have a rare function of upregulating its targeted expression. This discovery will increase our understanding of the pathology of PCOS and provide new targets for treatment strategies.PMID:33953792 | PMC:P...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Beibei Dai Jun Jiang Source Type: research

Identification of Molecular Regulatory Features and Markers for Acute Type A Aortic Dissection
CONCLUSION: The hub genes we identified may be regulated by methylation and participate in the development of ATAAD through immune inflammation and oxidative stress response. The findings may provide new insights into the molecular mechanisms and therapeutic targets for ATAAD.PMID:33953793 | PMC:PMC8057891 | DOI:10.1155/2021/6697848 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Rui Lian Guochao Zhang Shengtao Yan Lichao Sun Guoqiang Zhang Source Type: research

TAP Test Image Dynamic Tracking Study after Thyroid Cancer Surgery and after Radiotherapy and Chemotherapy
Comput Math Methods Med. 2021 Apr 16;2021:8072126. doi: 10.1155/2021/8072126. eCollection 2021.ABSTRACTThyroid cancer is a relatively common endocrine gland malignant tumor; if improper treatment, there will be a high risk of recurrence or metastasis, and abnormal sugar chain glycoprotein (TAP) has a close relationship with the development of the disease; therefore, the purpose of this article is to discuss abnormal sugar chain glycoprotein (TAP) as thyroid cancer curative effect evaluation and radiation and chemotherapy after surgery clinical significance. In this paper, 95 patients with thyroid cancer diagnosed in a hosp...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Changliang Wang Yongxue Gu Xiaojuan Men Peng Sun Meili Chen Source Type: research

The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury
In this study, we identified the differentially expressed genes (DEGs) following TBI. Remarkably, Serpina3n, Asf1b, Folr1, LOC100366216, Clec12a, Olr1, Timp1, Hspb1, Lcn2, and Spp1 were identified as the top 10 with the highest statistical significance. The weighted gene coexpression analysis (WGCNA) identified 12 functional modules from the DEGs, which showed specific expression patterns over time and were characterized by enrichment analysis. Specifically, the black and turquoise modules were mainly involved in energy metabolism and protein translation. The green yellow and yellow modules including Hmox1, Mif, Anxa2, Tim...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Zhi-Jie Zhao Dong-Po Wei Rui-Zhe Zheng Tinghua Peng Xiang Xiao Fu-Sheng Li Source Type: research

The Novel Regulatory Role of lncRNA-miRNA-mRNA Axis in Amyotrophic Lateral Sclerosis: An Integrated Bioinformatics Analysis
In this study, a competitive endogenous RNA (ceRNA) network was constructed by analyzing the expression profiles of messenger RNAs (mRNAs) and long noncoding RNAs (lncRNAs) that were matched by 7 ALS samples and 4 control samples, and then a protein-protein interaction (PPI) network was constructed to identify the genes related to ALS. Gene Ontology (GO) was used to study the potential functions of differentially expressed mRNAs (DEmRNAs) in the ceRNA network. For the ALS and control groups, 247177 potential lncRNA-mRNA ceRNA relationship pairs were screened. Analysis of significant relationship pairs demonstrated that the...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Dingsheng Liu Xiaojia Zuo Peng Zhang Rui Zhao Donglin Lai Kaijie Chen Yuru Han Guoqing Wan Yanjun Zheng Changlian Lu Xuefeng Gu Source Type: research

Increased miR-188-3p in Ovarian Granulosa Cells of Patients with Polycystic Ovary Syndrome
Comput Math Methods Med. 2021 Apr 15;2021:5587412. doi: 10.1155/2021/5587412. eCollection 2021.ABSTRACTMicroRNA-target networks are often dysregulated in diseases. Our purpose is to investigate this dysregulation of polycystic ovary syndrome (PCOS). Through the bioinformatics reanalysis of the public RNAseq dataset, we found that miR-188-3p was the miRNA with the highest induction rate, and indicated that miR-188-3p might have a rare function of upregulating its targeted expression. This discovery will increase our understanding of the pathology of PCOS and provide new targets for treatment strategies.PMID:33953792 | PMC:P...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Beibei Dai Jun Jiang Source Type: research

Identification of Molecular Regulatory Features and Markers for Acute Type A Aortic Dissection
CONCLUSION: The hub genes we identified may be regulated by methylation and participate in the development of ATAAD through immune inflammation and oxidative stress response. The findings may provide new insights into the molecular mechanisms and therapeutic targets for ATAAD.PMID:33953793 | PMC:PMC8057891 | DOI:10.1155/2021/6697848 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Rui Lian Guochao Zhang Shengtao Yan Lichao Sun Guoqiang Zhang Source Type: research

TAP Test Image Dynamic Tracking Study after Thyroid Cancer Surgery and after Radiotherapy and Chemotherapy
Comput Math Methods Med. 2021 Apr 16;2021:8072126. doi: 10.1155/2021/8072126. eCollection 2021.ABSTRACTThyroid cancer is a relatively common endocrine gland malignant tumor; if improper treatment, there will be a high risk of recurrence or metastasis, and abnormal sugar chain glycoprotein (TAP) has a close relationship with the development of the disease; therefore, the purpose of this article is to discuss abnormal sugar chain glycoprotein (TAP) as thyroid cancer curative effect evaluation and radiation and chemotherapy after surgery clinical significance. In this paper, 95 patients with thyroid cancer diagnosed in a hosp...
Source: Computational and Mathematical Methods in Medicine - May 6, 2021 Category: Statistics Authors: Changliang Wang Yongxue Gu Xiaojuan Men Peng Sun Meili Chen Source Type: research

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and < em > N < /em > -Peptide Combination
In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for a...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Qilemuge Xi Hao Wang Liuxi Yi Jian Zhou Yuchao Liang Xiaoqing Zhao Yongchun Zuo Source Type: research

Information Transfer and Multifractal Analysis of EEG in Mild Blast-Induced TBI
Comput Math Methods Med. 2021 Apr 6;2021:6638724. doi: 10.1155/2021/6638724. eCollection 2021.ABSTRACTMild, blast-induced traumatic brain injury (mbTBI) is a common combat brain injury characterized by typically normal neuroimaging findings, with unpredictable future cognitive recovery. Traditional methods of electroencephalography (EEG) analysis (e.g., spectral analysis) have not been successful in detecting the degree of cognitive and functional impairment in mbTBI. We therefore collected resting state EEG (5 minutes, 64 leads) from twelve patients with a history of mbTBI, along with repeat neuropsychological testing (D-...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Todd Zorick Katy D Gaines Gholam R Berenji Mark A Mandelkern Jason Smith Source Type: research

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and < em > N < /em > -Peptide Combination
In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for a...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Qilemuge Xi Hao Wang Liuxi Yi Jian Zhou Yuchao Liang Xiaoqing Zhao Yongchun Zuo Source Type: research

Information Transfer and Multifractal Analysis of EEG in Mild Blast-Induced TBI
Comput Math Methods Med. 2021 Apr 6;2021:6638724. doi: 10.1155/2021/6638724. eCollection 2021.ABSTRACTMild, blast-induced traumatic brain injury (mbTBI) is a common combat brain injury characterized by typically normal neuroimaging findings, with unpredictable future cognitive recovery. Traditional methods of electroencephalography (EEG) analysis (e.g., spectral analysis) have not been successful in detecting the degree of cognitive and functional impairment in mbTBI. We therefore collected resting state EEG (5 minutes, 64 leads) from twelve patients with a history of mbTBI, along with repeat neuropsychological testing (D-...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Todd Zorick Katy D Gaines Gholam R Berenji Mark A Mandelkern Jason Smith Source Type: research

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and < em > N < /em > -Peptide Combination
In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for a...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Qilemuge Xi Hao Wang Liuxi Yi Jian Zhou Yuchao Liang Xiaoqing Zhao Yongchun Zuo Source Type: research

Information Transfer and Multifractal Analysis of EEG in Mild Blast-Induced TBI
Comput Math Methods Med. 2021 Apr 6;2021:6638724. doi: 10.1155/2021/6638724. eCollection 2021.ABSTRACTMild, blast-induced traumatic brain injury (mbTBI) is a common combat brain injury characterized by typically normal neuroimaging findings, with unpredictable future cognitive recovery. Traditional methods of electroencephalography (EEG) analysis (e.g., spectral analysis) have not been successful in detecting the degree of cognitive and functional impairment in mbTBI. We therefore collected resting state EEG (5 minutes, 64 leads) from twelve patients with a history of mbTBI, along with repeat neuropsychological testing (D-...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Todd Zorick Katy D Gaines Gholam R Berenji Mark A Mandelkern Jason Smith Source Type: research

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and < em > N < /em > -Peptide Combination
In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for a...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Qilemuge Xi Hao Wang Liuxi Yi Jian Zhou Yuchao Liang Xiaoqing Zhao Yongchun Zuo Source Type: research

Information Transfer and Multifractal Analysis of EEG in Mild Blast-Induced TBI
Comput Math Methods Med. 2021 Apr 6;2021:6638724. doi: 10.1155/2021/6638724. eCollection 2021.ABSTRACTMild, blast-induced traumatic brain injury (mbTBI) is a common combat brain injury characterized by typically normal neuroimaging findings, with unpredictable future cognitive recovery. Traditional methods of electroencephalography (EEG) analysis (e.g., spectral analysis) have not been successful in detecting the degree of cognitive and functional impairment in mbTBI. We therefore collected resting state EEG (5 minutes, 64 leads) from twelve patients with a history of mbTBI, along with repeat neuropsychological testing (D-...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Todd Zorick Katy D Gaines Gholam R Berenji Mark A Mandelkern Jason Smith Source Type: research

ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and < em > N < /em > -Peptide Combination
In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for a...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Qilemuge Xi Hao Wang Liuxi Yi Jian Zhou Yuchao Liang Xiaoqing Zhao Yongchun Zuo Source Type: research

Information Transfer and Multifractal Analysis of EEG in Mild Blast-Induced TBI
Comput Math Methods Med. 2021 Apr 6;2021:6638724. doi: 10.1155/2021/6638724. eCollection 2021.ABSTRACTMild, blast-induced traumatic brain injury (mbTBI) is a common combat brain injury characterized by typically normal neuroimaging findings, with unpredictable future cognitive recovery. Traditional methods of electroencephalography (EEG) analysis (e.g., spectral analysis) have not been successful in detecting the degree of cognitive and functional impairment in mbTBI. We therefore collected resting state EEG (5 minutes, 64 leads) from twelve patients with a history of mbTBI, along with repeat neuropsychological testing (D-...
Source: Computational and Mathematical Methods in Medicine - April 30, 2021 Category: Statistics Authors: Todd Zorick Katy D Gaines Gholam R Berenji Mark A Mandelkern Jason Smith Source Type: research

Automated Atrial Fibrillation Detection Based on Feature Fusion Using Discriminant Canonical Correlation Analysis
Comput Math Methods Med. 2021 Apr 8;2021:6691177. doi: 10.1155/2021/6691177. eCollection 2021.ABSTRACTAtrial fibrillation (AF) is one of the most common cardiovascular diseases, with a high disability rate and mortality rate. The early detection and treatment of atrial fibrillation have great clinical significance. In this paper, a multiple feature fusion is proposed to screen out AF recordings from single lead short electrocardiogram (ECG) recordings. The proposed method uses discriminant canonical correlation analysis (DCCA) feature fusion. It fully takes intraclass correlation and interclass correlation into considerati...
Source: Computational and Mathematical Methods in Medicine - April 26, 2021 Category: Statistics Authors: Jingjing Shi Chao Chen Hui Liu Yinglong Wang Minglei Shu Qing Zhu Source Type: research

A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning
Comput Math Methods Med. 2021 Apr 7;2021:5514224. doi: 10.1155/2021/5514224. eCollection 2021.ABSTRACTBurn is a common traumatic disease with high morbidity and mortality. The treatment of burns requires accurate and reliable diagnosis of burn wounds and burn depth, which can save lives in some cases. However, due to the complexity of burn wounds, the early diagnosis of burns lacks accuracy and difference. Therefore, we use deep learning technology to automate and standardize burn diagnosis to reduce human errors and improve burn diagnosis. First, the burn dataset with detailed burn area segmentation and burn depth labelli...
Source: Computational and Mathematical Methods in Medicine - April 21, 2021 Category: Statistics Authors: Hao Liu Keqiang Yue Siyi Cheng Wenjun Li Zhihui Fu Source Type: research

Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results
Comput Math Methods Med. 2021 Apr 1;2021:2618625. doi: 10.1155/2021/2618625. eCollection 2021.ABSTRACTWith the help of computational fluid dynamics (CFD), hemodynamics of the pulmonary arteries (PA's) can be studied in detail and varying physiological circumstances and treatment options can be simulated. This offers the opportunity to improve the diagnostics and treatment of PA stenosis in biventricular congenital heart disease (CHD). The aim of this review was to evaluate the methods of computational studies for PA's in biventricular CHD and the level of validation of the numerical outcomes. A total of 34 original researc...
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: M Conijn G J Krings Source Type: research

Classification and Design of HIV-1 Integrase Inhibitors Based on Machine Learning
Comput Math Methods Med. 2021 Apr 1;2021:5559338. doi: 10.1155/2021/5559338. eCollection 2021.ABSTRACTA key enzyme in human immunodeficiency virus type 1 (HIV-1) life cycle, integrase (IN) aids the integration of viral DNA into the host DNA, which has become an ideal target for the development of anti-HIV drugs. A total of 1785 potential HIV-1 IN inhibitors were collected from the databases of ChEMBL, Binding Database, DrugBank, and PubMed, as well as from 40 references. The database was divided into the training set and test set by random sampling. By exploring the correlation between molecular descriptors and inhibitory ...
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: Junlin Zhou Juan Hao Lianxin Peng Huaichuan Duan Qing Luo Hailian Yan Hua Wan Yichen Hu Li Liang Zhenjian Xie Wei Liu Gang Zhao Jianping Hu Source Type: research

A New Measure of Pulse Rate Variability and Detection of Atrial Fibrillation Based on Improved Time Synchronous Averaging
CONCLUSION: This algorithm not only provides a new perspective to detect AF but also accomplishes the monitoring of PRV and the extraction of single-period pulse wave through the same technical route, which may promote the popularization and application of pulse wave.PMID:33868451 | PMC:PMC8035003 | DOI:10.1155/2021/5597559 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: Xiaodong Ding Yiqin Wang Yiming Hao Yi Lv Rui Chen Haixia Yan Source Type: research

Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results
Comput Math Methods Med. 2021 Apr 1;2021:2618625. doi: 10.1155/2021/2618625. eCollection 2021.ABSTRACTWith the help of computational fluid dynamics (CFD), hemodynamics of the pulmonary arteries (PA's) can be studied in detail and varying physiological circumstances and treatment options can be simulated. This offers the opportunity to improve the diagnostics and treatment of PA stenosis in biventricular congenital heart disease (CHD). The aim of this review was to evaluate the methods of computational studies for PA's in biventricular CHD and the level of validation of the numerical outcomes. A total of 34 original researc...
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: M Conijn G J Krings Source Type: research

Classification and Design of HIV-1 Integrase Inhibitors Based on Machine Learning
Comput Math Methods Med. 2021 Apr 1;2021:5559338. doi: 10.1155/2021/5559338. eCollection 2021.ABSTRACTA key enzyme in human immunodeficiency virus type 1 (HIV-1) life cycle, integrase (IN) aids the integration of viral DNA into the host DNA, which has become an ideal target for the development of anti-HIV drugs. A total of 1785 potential HIV-1 IN inhibitors were collected from the databases of ChEMBL, Binding Database, DrugBank, and PubMed, as well as from 40 references. The database was divided into the training set and test set by random sampling. By exploring the correlation between molecular descriptors and inhibitory ...
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: Junlin Zhou Juan Hao Lianxin Peng Huaichuan Duan Qing Luo Hailian Yan Hua Wan Yichen Hu Li Liang Zhenjian Xie Wei Liu Gang Zhao Jianping Hu Source Type: research

A New Measure of Pulse Rate Variability and Detection of Atrial Fibrillation Based on Improved Time Synchronous Averaging
CONCLUSION: This algorithm not only provides a new perspective to detect AF but also accomplishes the monitoring of PRV and the extraction of single-period pulse wave through the same technical route, which may promote the popularization and application of pulse wave.PMID:33868451 | PMC:PMC8035003 | DOI:10.1155/2021/5597559 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 19, 2021 Category: Statistics Authors: Xiaodong Ding Yiqin Wang Yiming Hao Yi Lv Rui Chen Haixia Yan Source Type: research

A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis
Comput Math Methods Med. 2021 Mar 30;2021:1628959. doi: 10.1155/2021/1628959. eCollection 2021.ABSTRACTAutism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is estimated that one in 160 children has traces of autism, with five times the higher prevalence in boys. The protocols for detecting symptoms are diverse. However, the following are among the most used: the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), of the American Psychiatric Association; the Revised Autistic Diagnostic Observation Schedule (ADOS-R); the Autistic Diagnostic Interview (ADI); and ...
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Evandro Andrade Samuel Portela Pl ácido Rogério Pinheiro Luciano Comin Nunes Marum Sim ão Filho Wagner Silva Costa Mirian Caliope Dantas Pinheiro Source Type: research

Transcriptome Classification Reveals Molecular Subgroups in Patients with Hepatitis B Virus
This study provides novel information to understand the mechanisms of HBV infection in chronic hepatitis B (CHB) patients.PMID:33859718 | PMC:PMC8028738 | DOI:10.1155/2021/5543747 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Conghui Zhang Jie Li Lan Yang Fengxia Xu Huiyuan She Xinghui Liu Source Type: research

Comprehensive Analysis of the Control of Cancer Stem Cell Characteristics in Endometrial Cancer by Network Analysis
CONCLUSION: PLK1, CDK1, and MAD2L1 which were strongly correlated with upstream genes may be a regulated upstream of key genes.PMID:33859719 | PMC:PMC8025127 | DOI:10.1155/2021/6653295 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Yun Liu Peigen Chen Mengxiong Li Hui Fei Jinfeng Huang Tingting Zhao Tian Li Source Type: research

A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis
Comput Math Methods Med. 2021 Mar 30;2021:1628959. doi: 10.1155/2021/1628959. eCollection 2021.ABSTRACTAutism Spectrum Disorder is a mental disorder that afflicts millions of people worldwide. It is estimated that one in 160 children has traces of autism, with five times the higher prevalence in boys. The protocols for detecting symptoms are diverse. However, the following are among the most used: the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), of the American Psychiatric Association; the Revised Autistic Diagnostic Observation Schedule (ADOS-R); the Autistic Diagnostic Interview (ADI); and ...
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Evandro Andrade Samuel Portela Pl ácido Rogério Pinheiro Luciano Comin Nunes Marum Sim ão Filho Wagner Silva Costa Mirian Caliope Dantas Pinheiro Source Type: research

Transcriptome Classification Reveals Molecular Subgroups in Patients with Hepatitis B Virus
This study provides novel information to understand the mechanisms of HBV infection in chronic hepatitis B (CHB) patients.PMID:33859718 | PMC:PMC8028738 | DOI:10.1155/2021/5543747 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Conghui Zhang Jie Li Lan Yang Fengxia Xu Huiyuan She Xinghui Liu Source Type: research

Comprehensive Analysis of the Control of Cancer Stem Cell Characteristics in Endometrial Cancer by Network Analysis
CONCLUSION: PLK1, CDK1, and MAD2L1 which were strongly correlated with upstream genes may be a regulated upstream of key genes.PMID:33859719 | PMC:PMC8025127 | DOI:10.1155/2021/6653295 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - April 16, 2021 Category: Statistics Authors: Yun Liu Peigen Chen Mengxiong Li Hui Fei Jinfeng Huang Tingting Zhao Tian Li Source Type: research