Explore the KDnuggets Weekly Roundup covering autonomous agent deployment and 7 essential machine learning algorithms that ...
Objective Prolonged length of stay (LOS) contributes substantially to the healthcare burden in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI), yet ...
Researchers developed a two-stage machine learning framework that detected diabetes and classified records as prediabetes, ...
AI is the big umbrella; ML is how it learns; deep learning is powerful learning with neural networks; generative AI is AI that creates ...
Background Circulatory collapse at hospital arrival represents one of the most severe clinical presentations of ST-segment ...
Objectives To determine the prevalence of cerebral atrophy in a multi-ethnic systemic lupus erythematosus (SLE) cohort and to ...
Objectives To identify the latent profiles of health behaviour abilities among patients with haematological malignancies and ...
Objective To assess the association between parental occupational pesticide exposures at birth and adult testicular germ cell ...
Objective To evaluate the association between use of newer glucagon-like peptide-1 receptor agonists (GLP-1 RAs; semaglutide, ...
Data sources PubMed, Embase, Web of Science, SCOPUS, Cochrane, Global Health Index Medicus, PAHO, Global Health OVID, Africa-Wide Information, IndMed, WHO Mortality Database, Demographic and Health ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
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