Max T Eyre, Caroline A Bulstra, Olatunji Johnson, Sake J de Vlas, Peter J Diggle, Claudio Fronterrè, Luc E Coffeng
A Comparison of Markov and Mechanistic Models for Soil-Transmitted Helminth Prevalence Projections in the Context of Survey Design
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
depression recognized significant public health issue united states national survey drug use health reports 210 million adults aged 18 older major depressive disorder 2020 including 148 million experiencing major depressive episode severe impairment aim predict positivity patient health questionnaire2 phq2 outcomes among patients primary care settings analyzing range variables including socioeconomic status demographic characteristics health behaviors thereby identifying increased risk depression employing machine learning approach study utilizes retrospective data electronic health records across 15 primary care clinics south florida explore relationship social determinants health sdoh including area deprivation index adi phq2 positivity study encompasses 15 primary care clinics located south florida diverse patient population receives care analysis included 94572 patient visits 74636 records included study zip4 available adi score exist visit included final analysis screening involved phq2 assessing depressed mood anhedonia cutoff 2 indicating positive screening adi used assess sdoh matching patients residential postal codes adi national percentiles demographics sexual history tobacco use caffeine intake community involvement also evaluated study 40 machine learning algorithms explored accuracy predicting phq2 outcomes using software tools including scikitlearn stats models python variables normalized scored subjected predictive regression models random forest showing outstanding performance feature engineering correlation analysis identified adi age education visit type coffee intake marital status significant predictors phq2 positivity area curve model accuracies varied across clinics specific clinics showing higher predictive accuracy others p 05 study concludes adi proxy sdoh alongside individual factors predict phq2 positivity health organizations use information anticipate health needs resource allocation