machine learning

Torgersen J, Akers S, Huo Y, Terry JG, Carr JJ, Ruutiainen AT, Skanderson M, Levin W, Lim JK, Taddei TH, So-Armah K, Bhattacharya D, Rentsch[...]

Bhatt RR, Todorov S, Sood R, Ravichandran S, Kilpatrick LA, Peng N, Liu C, Vora PP, Jahanshad N, Gupta A. Integrated multi-modal brain signatures predict[...]

Quinton JK, Jackson N, Mangione CM, Moin T, Vasilyev A, O'Shea DL, Duru OK. Differential Impact of a Plan-Led Standardized Complex Care Management Intervention on[...]

Ru B, Tan X, Liu Y, Kannapur K, Ramanan D, Kessler G, Lautsch D, Fonarow G. Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions[...]

Zhang X, Bhatt RR, Todorov S, Gupta A. Brain-gut microbiome profile of neuroticism predicts food addiction in obesity: A transdiagnostic approach. Prog Neuropsychopharmacol Biol Psychiatry.[...]

Yan Y, Jiang JY, Fu M, Wang D, Pelletier AR, Sigdel D, Ng DCM, Wang W, Ping P. MIND-S is a deep-learning prediction model for[...]

Lunge SB, Shetty NS, Sardesai VR, Karagaiah P, Yamauchi PS, Weinberg JM, Kircik L, Giulini M, Goldust M. Therapeutic application of machine learning in psoriasis:[...]

Bossarte RM, Ross EL, Liu H, Turner B, Bryant C, Zainal NH, Puac-Polanco V, Ziobrowski HN, Cui R, Cipriani A, Furukawa TA, Leung LB, JoormannN[...]

Park HB, Lee J, Hong Y, Byungchang S, Kim W, Lee BK, Lin FY, Hadamitzky M, Kim YJ, Conte E, Andreini D, Pontone G, Budoff[...]

Inoue K, Seeman TE, Horwich T, Budoff MJ, Watson KE. Heterogeneity in the Association Between the Presence of Coronary Artery Calcium and Cardiovascular Events: A[...]