Machine learning model distinguishes levels of psychological resilience in health care workers with 75% accuracy

A survey published successful Discover Artificial Intelligence utilized logistic regression, random wood and enactment vector instrumentality (SVM) to classify wellness attraction workers according to their level of psychosocial resilience, utilizing accusation collected during the COVID-19 pandemic. The logistic regression exemplary produced the astir close results, with an accuracy of 75.6% and an country nether the ROC curve of 0.816, outperforming random wood (72.6%) and enactment vector instrumentality (70.8%).