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Machine Learning Applications in Studying Mental Health Among Immigrants and Racial and Ethnic Minorities: A Systematic Review
Publications were excluded if they were narrative or did not exclusively focus on a minority population from the respective country.
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations
Grid search (GS), which is a traditional approach used for machine learning fine-tunning is also used to fine-tune the parameters of XGB and CaB, which are named GS-XGB and GS-CaB.
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework
The degree and the direction of effects of each feature were determined and explained using the SHAP method.
An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients
The AUC, sensitivity, specificity, F1, and accuracy of the best model are 95. 4%, 99. 3%, 91. 4%, 95. 2%, 97. 2%, respectively.
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