AIMC Topic: 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 Apr 1, 2025
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...
Humans Machine Learning Pandemics COVID-19 Female SARS-CoV-2 Young Adult Adult Male Middle Aged Stress, Psychological Mental Health Services Randomized Controlled Trials as Topic Telemedicine Patient Acceptance of Health Care Internet-Based Intervention Secondary Data Analysis
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Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.

Biomedical and environmental sciences : BES Mar 20, 2025
OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
Humans Machine Learning Female Risk Factors Aged Aged, 80 and over Male Cardiovascular Diseases Middle Aged Postoperative Complications Randomized Controlled Trials as Topic Secondary Data Analysis
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