machine learning

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[...]

Zhang Y, Chung H, Ngo JP, Monsoor T, Hussain SA, Matsumoto JH, Walshaw PD, Fallah A, Sim MS, Asano E, Sankar R, Staba RJ, Engel[...]

Eisenberg E, Miller RJH, Hu LH, Rios R, Betancur J, Azadani P, Han D, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann[...]

Listopad S, Magnan C, Asghar A, Stolz A, Tayek JA, Liu ZX, Morgan TR, Norden-Krichmar TM. Differentiating between liver diseases by applying multiclass machine learning[...]

Randolph GW, Sosa JA, Hao Y, Angell TE, Shonka DC , Jr, LiVolsi VA, Ladenson PW, Blevins TC, Duh QY, Ghossein R, Harrell M, Patel[...]

Marathe K, Marasinou C, Li B, Nakhaei N, Li B, Elmore JG, Shapiro L, Hsu W. Automated quantitative assessment of amorphous calcifications: Towards improved malignancy[...]