Network Modeling Analysis in Health Informatics and Bioinformatics

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Retraction Note: An hybrid security framework using internet of things for healthcare system
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 11 - Trang 1-1 - 2022
S. Satheesh Kumar, Manjula Sanjay Koti
Link prediction and classification in social networks and its application in healthcare and systems biology
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 1 Số 1-2 - Trang 27-36 - 2012
Wadhah Almansoori, Shang Gao, Tamer N. Jarada, Abdallah M. ElSheikh, Ayman Murshed, Jamal Jida, Reda Alhajj, Jon Rokne
In silico characterization of hypothetical proteins obtained from Mycobacterium tuberculosis H37Rv
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 6 - Trang 1-9 - 2017
Utkarsh Raj, Aman Kumar Sharma, Imlimaong Aier, Pritish Kumar Varadwaj
Tuberculosis is one of the oldest diseases with a death rate of 1.5 million per year. Tuberculosis spreads from one person to another through Mycobacterium tuberculosis. This bacteria belongs to the family Mycobacteriaceae, genus Mycobacterium, member of the tuberculosis complex. Mycobacterium tuberculosis is an acid-fast, aerobic, rod-shaped bacteria, ranging from 2 to 4 Â µm in length and 0.2 t...... hiện toàn bộ
A theoretical model for an electromagnetic antenna in induction of virtual T cells
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 10 - Trang 1-10 - 2021
Massimo Fioranelli, Alireza Sepehri, Maria Grazia Roccia, Aroonkumar Beesham, Dana Flavin
Cancer cells make a PD1/PD-L1 bridge with T cells and inject death factors into them. Recently, many methods and drugs have been proposed to prevent PD1/PD-L1 connections; however, most of them are very expensive and could not work well. We propose a theoretical model for an electromagnetic antenna which induces virtual T cells within the blood vessels. These electromagnetic T cells deceive cancer...... hiện toàn bộ
Strew index
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 4 - Trang 1-15 - 2015
Hasin A. Ahmed, Dhruba K. Bhattacharyya, Jugal K. Kalita
Machine learning can be broadly divided into supervised and unsupervised learning (Hastie et al. in The elements of statistical learning, Springer, New York, 2009). In supervised learning which is also known as classification, a classifier learns from some objects with known class labels and later assigns class labels to unknown objects based on acquired knowledge (Kotsiantis et al. in Proceedings...... hiện toàn bộ
The design of electronic medical records system using Skip-gram algorithm
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 10 - Trang 1-7 - 2021
Tianjiao Yu
To improve the management ability of patient information and establish a feasible electronic medical record (EMR) management system, combined with the characteristics of e-commerce, the EMR system is established. Moreover, based on Skip-gram algorithm, the word database of EMR is segmented and extracted. First, the data in the EMR are preprocessed to extract the specific information from the EMR. ...... hiện toàn bộ
A comparative QSAR analysis of substituted imidazolones derivatives as angiotensin II AT1 receptor antagonists
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 4 - Trang 1-9 - 2015
Mukesh C. Sharma
Two-dimensional (2D), Three-dimensional (3D) quantitative structure–activity relationship (QSAR) and Pharmacophore studies of angiotensin II AT1 receptor antagonists substituted imidazolones derivatives have been carried out. Statistically significant best 2D-QSAR and k-nearest neighbor-based 3D-QSAR model were generated on q 2 = 0.7118; 0.7159 with pred_r ...... hiện toàn bộ
Improved identification of core biomarkers and drug repositioning for ovarian cancer: an integrated bioinformatics approach
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 9 Số 1 - 2020
Shahjaman, Fatema Tuz Zohora Jui, Tania Islam, Sukanta Das, Rezanur Rahman
An evaluation of approaches for using unlabeled data with domain adaptation
Network Modeling Analysis in Health Informatics and Bioinformatics - Tập 5 - Trang 1-12 - 2016
Nic Herndon, Doina Caragea
We consider the problem of adding a large unlabeled sample from the target domain to boost the performance of a domain adaptation algorithm when only a small set of labeled examples is available from the target domain. In particular, we consider the problem setting motivated by the tasks of splice site prediction and protein localization. For example, for splice site prediction, annotating a genom...... hiện toàn bộ
2D finite element estimation of calcium diffusion in Alzheimer’s affected neuron
Network Modeling Analysis in Health Informatics and Bioinformatics - - 2021
Devanshi D. Dave, Brajesh Kumar Jha
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