Works matching IS 26737426 AND DT 2022 AND VI 2 AND IP 3
Results: 11
Machine Learning Tools and Platforms in Clinical Trial Outputs to Support Evidence-Based Health Informatics: A Rapid Review of the Literature.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 511, doi. 10.3390/biomedinformatics2030032
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Interpretable Machine Learning with Brain Image and Survival Data.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 492, doi. 10.3390/biomedinformatics2030031
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Analysis of Differentially Expressed Genes, MMP3 and TESC, and Their Potential Value in Molecular Pathways in Colon Adenocarcinoma: A Bioinformatics Approach.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 474, doi. 10.3390/biomedinformatics2030030
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- Article
Network Pharmacology and Molecular Docking Reveal the Mechanism of Tanshinone IIA against Pulmonary Hypertension.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 459, doi. 10.3390/biomedinformatics2030029
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Application of Standardized Regression Coefficient in Meta-Analysis.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 434, doi. 10.3390/biomedinformatics2030028
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Identification of Key Endoplasmic Reticulum Stress-Related Genes in Non-Alcoholic Fatty Liver Disease.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 424, doi. 10.3390/biomedinformatics2030027
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- Article
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 405, doi. 10.3390/biomedinformatics2030026
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A New Epidemic Model for the COVID-19 Pandemic: The θ-SI(R)D Model.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 398, doi. 10.3390/biomedinformatics2030025
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- Article
A Systems Biology- and Machine Learning-Based Study to Unravel Potential Therapeutic Mechanisms of Midostaurin as a Multitarget Therapy on FLT3-Mutated AML.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 375, doi. 10.3390/biomedinformatics2030024
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CGK4PM: Towards a Methodology for the Systematic Generation of Clinical Guideline Process Models and the Utilization of Conformance Checking.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 359, doi. 10.3390/biomedinformatics2030023
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An LDA–SVM Machine Learning Model for Breast Cancer Classification †.
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- BioMedInformatics, 2022, v. 2, n. 3, p. 345, doi. 10.3390/biomedinformatics2030022
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- Article