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Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.

Biomedical and environmental sciences : BES 40237268
OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
Aged Aged, 80 and over Cardiovascular Diseases Female Humans Machine Learning Male Middle Aged Postoperative Complications Randomized Controlled Trials as Topic Risk Factors Secondary Data Analysis
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Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Stress and health : journal of the International Society for the Investigation of Stress 40261245
Online self-guided interventions appear efficacious for alleviating some mental health concerns. However, among persons who are offered online interventions, only a fraction access them (i.e., achieve uptake). Machine learning methods may be useful t...
Adult COVID-19 Female Humans Internet-Based Intervention Machine Learning Male Mental Health Services Middle Aged Pandemics Patient Acceptance of Health Care Randomized Controlled Trials as Topic SARS-CoV-2 Secondary Data Analysis Stress, Psychological Telemedicine Young Adult
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