Network Modeling Analysis in Health Informatics and Bioinformatics 
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.
This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Blockchain-based transfer learning for health screening with digital anthropometry from body images
AbstractAnthropoid images encode reliable biometric information in abundance. Recent research on image-based screening drives this effort to investigate the feasibility of interpreting the inherent nutritional state from multidimensional human body images. However, anthropometric databases are becoming increasingly essential and grow in parallel to achieve efficient system designs. Typically, learning models on anthropometric databases require voluminous datasets, and obtaining huge volumes of labeled data for supervised algorithms can be challenging due to the time and cost complexity required to classify data points....
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 25, 2022 Category: Bioinformatics Source Type: research
A graphical approach for outlier detection in gene –protein mapping of cognitive ailments: an insight into neurodegenerative disorders
AbstractDetecting outliers in gene –protein mapping that reveal the presence of neuro-degenerative disorders or distinguishes between two different neuro-degenerations is an unexplored research area. This research work proposes a new methodology based on graphs for detecting outliers that relate the gene–protein mapping anchored on their physicochemical properties. The results of this study have revealed the exact protein physicochemical properties and the corresponding gene that is mapped to that protein. This research work makes the following contributions: (i) Proposes a simple graphical approach to visualize the ge...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - May 11, 2022 Category: Bioinformatics Source Type: research
Development of COVID-19 Health-Risk Assessment and Self-Evaluation (CHaSe): a health screening system for university students and staff during the movement control order (MCO)
This study aims to develop a comprehensive one-stop online public health screening system based on clinical and epidemiological criteria. The immediate target populations are the university students and staff of University Sultan Zainal Abidin and the civil servants of the Malaysian Ministry of Science, Technology, and Innovation. Forty-nine (49) clinical and epidemiological factors associated with COVID-19 were identified and prioritized based on their prevalence via rigorous review of the literature and vetting sessions. A pilot study of 200 volunteers was conducted to assess the extent of risk mitigation of COVID-19 inf...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 15, 2022 Category: Bioinformatics Source Type: research
A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method
AbstractAn increasing body of literature shows that predicting gene clusters related to human cancer disease using biological networks is significant in bioinformation, it would help to understand disease mechanisms, and benefit the development of diagnostics and therapeutics. However, due to noise and preprocessing of data, a single network or graph generated from one cancer disease is insufficient to cluster genes. As some cancer diseases are correlated with each other in practice, by integrating several gene expression networks generated from those associated cancer diseases, more accurate and robust partition of genes ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 7, 2022 Category: Bioinformatics Source Type: research
A spider tool-based qualitative analysis of machine learning for wrist pulse analysis
AbstractAyurveda and traditional Chinese medicine (TCM) have used wrist pulse analysis for centuries. It is a non-invasive, novel, convenient, and highly successful disease diagnosis technique that analyses the pulse pattern from the patient ’s wrist. During the wrist pulse diagnostic, the clinician uses three fingers to palpate the patient’s wrist to analyze the pressure unbalance as an imbalance of force under the finger may be the cause of disease. However, the unsatisfactory results of clinical rating scales pave the path for fu ture research. Usage of radial pulse to analyze and diagnose disease seems to be a comp...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - April 5, 2022 Category: Bioinformatics Source Type: research
Human health characteristics of sports management model based on the biometric monitoring system
AbstractChinese Wushu is the traditional sports of the Chinese nation. The spirit of Wushu is based on Wushu. With the passage of time, its connotation and value are deepening. This is the source of strength and inspires past Wushu practitioners to overcome themselves. The health management system mainly serves mid-to-high-end health management institutions, and develops a health information management system in accordance with health management and service procedures. It mainly includes physical examination workstation, health assessment, intervention system, charging center, green channel, external marketing system, CRM ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 26, 2022 Category: Bioinformatics Source Type: research
Deep learning-based image target detection and recognition of fractal feature fusion for BIOmetric authentication and monitoring
AbstractImage detection and recognition play an important factor in processing and field of view. In recent years, the rapid growth of deep learning in self-learning features has spanned traditional research algorithms in the field of image research and recognition. Of course, the ability to achieve this is determined by the technical characteristics of deep learning. This is a recently popular technology. Therefore, its changes naturally affect the heartstrings of every researcher. Of course, it can also change the traditional target detection and recognition methods. In order to deeply study the current situation of imag...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 26, 2022 Category: Bioinformatics Source Type: research
Directive clustering contrast-based multi-modality medical image fusion for smart healthcare system
AbstractSmart healthcare is being adopted gradually as information technology advances. The enormous increase in demand for smart medical imaging has resulted in the fusion of a number of important imaging technologies. In smart imaging, many times single modality images are not sufficient to extract the major or minor information from medical images. Therefore in this paper, a new fusion algorithm is introduced for multi-modality medical images to extract maximum information and provide an efficient fused image. In proposed scheme, NSCT is used to get low- and high-frequency components of the medical images. Further, clus...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 26, 2022 Category: Bioinformatics Source Type: research
Diagnosis of coronary artery occlusion by fitting polynomial curve with the ECG signal based on optimization techniques
In this study, however, a polynomial curve fitting technique based on optimization strategies was used to diagnose coronary artery occlusion. The signals with the noise were removed using a discrete wavelet transform. This is followed by a hamming window function which shows the signals with 2000 samples. This was further applied to the polynomial fitting function to obtain polynomial coefficients of the given signal. The polynomial coefficients were obtained by choosing the best value of the polynomial order n using genetic and particle swarm optimization algorithm. Area, variance, kurtosis, root means, and form factor we...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 26, 2022 Category: Bioinformatics Source Type: research
Deathdaily: A Python Package Index for predicting the number of daily COVID-19 deaths
AbstractThis paper presents a new open-source program called deathdaily for predicting the number of daily COVID-19 deaths in the next 7 days. The predictions can be used by policymakers to determine whether current policies should be strengthened/mitigated or new policies should be challenged to mitigate the COVID-19 pandemic. Although vaccines have been mitigating the pandemic initially, the recent resurgence with new variants ha s been observed in many vaccinated countries. This paper shows how to use deathdaily to detect symptoms of resurgence. The proposed deathdaily is available in public and can be installed by a ...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 20, 2022 Category: Bioinformatics Source Type: research
Bidirectional filtering approach for the improved protein coding region identification in eukaryotes
AbstractThe Gene identification problem or the computational techniques for finding the protein-coding regions in a given DNA sequence is one of the extensive research issues in bioinformatics. Conventional statistical methods that are used to identify the protein-coding region from DNA sequences are expensive and time-consuming. Over the past two decades, there has been an increasing interest in exploring DSP-based solutions to this problem. A class of infinite impulse response (IIR) anti-notch filters (ANF) has been previously used to meet the requirements. However, the prediction accuracy of these filters is still limit...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - March 11, 2022 Category: Bioinformatics Source Type: research
Correction to: A compressive mathematical model including an eclipse stage of infected cells to study the impact of stem cells transplantation on one HIV1 patient
(Source: Network Modeling Analysis in Health Informatics and Bioinformatics)
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 21, 2022 Category: Bioinformatics Source Type: research
Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking
In this study, we aimed to assess the affinity between several available small molecule and proteins, including Abl kinase inhibitors, Janus kinase inhibitor, dipeptidyl peptidase 4 inhibitors, RNA-dependent RNA polymerase inhibitors, and Papain-like protease inhibitors, using binding simulation, to test whether they may be effective in inhibiting COVID-19 infection through several mechanisms. The efficiency of inhibitors was evaluated based on docking scores using AutoDock Vina software. Strong ligand –protein interactions were predicted among some of these drugs, that included: Imatinib, Remdesivir, and Telaprevir, and...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 4, 2022 Category: Bioinformatics Source Type: research
Identifying the candidate genes using co-expression, GO, and machine learning techniques for Alzheimer ’s disease
AbstractAlzheimer ’s disease is a neurological disorder that affects an individual’s memory, motor functions, behaviour, and thought process. It has been observed that the hippocampus is the first region that gets affected by Alzheimer’s. Hence, a study of the hippocampus region can identify genes responsible f or the occurrence of the early stage of the disease. Most often, t-test and correlation are used to identify significant genes at the initial level. As the genes are differentially expressed, their classification power is generally high. These genes might appear significant, but their degree of spec ificity to...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - February 4, 2022 Category: Bioinformatics Source Type: research
A comprehensive review of global alignment of multiple biological networks: background, applications and open issues
AbstractAlignment of biological data aims to transfer the functional knowledge across the species by comparing the data of a well-studied one with that of a less-studied thus gaining insights into the cell ’s functioning from biological, chemical and physical perspectives. With the advancements in information communication technologies, imaging methods, etc., there is a heap of biological data that is getting accumulated at several databases across the web. This data can be analyzed to attain signif icant knowledge and to further develop an application that caters to the present and futuristic demands for personalized, p...
Source: Network Modeling Analysis in Health Informatics and Bioinformatics - January 28, 2022 Category: Bioinformatics Source Type: research
