GI-RNASA - Artigos: Envíos recentes
Mostrando ítems 56-60 de 193
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Random Forest-Based Prediction of Stroke Outcome
(Nature Research, 2021)[Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ... -
A Recommender System to Help Refining Clinical Research Studies
(IOS Press, 2021-05-01)[Abstract] The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages ... -
In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
(Frontiers Research Foundation, 2021-02-26)[Abstract] Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome ... -
Using Machine Learning to Collect and Facilitate Remote Access to Biomedical Databases: Development of the Biomedical Database Inventory
(J M I R Publications, Inc., 2021-02-25)[Abstract] Background: Currently, existing biomedical literature repositories do not commonly provide users with specific means to locate and remotely access biomedical databases. Objective: To address this issue, ... -
Applicability of clinical decision support in management among patients undergoing cardiac surgery in intensive care unit: a systematic review
(MDPI, 2021-03-23)[Abstract] The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent ...
