machine learning

Reinier K, Chugh H, Kadiyala V, Sargsyan A, Uy-Evanado A, Nakamura K, Heckard E, Mathias M, Grogan T, Elashoff D, Salvucci A, Jui J, Chugh[...]

Møller Jensen C, Zargari Marandi R, Moestrup KS, Mourad A, Mena Lora AJ, Sherman BT, Vock DM, Nordwall JA, Carson JM, Peiffer-Smadja N, Aggarwal NR,[...]

Te TT, Bui AAT, Speier W, Fung CH. Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics. J Am Geriatr[...]

Petousis P, Gordon D, Duru OK, Norris KC, Tuttle KR, Nicholas SB, Bui AAT. Dynamic Bayesian networks to predict loss of kidney function: a cross-institution[...]

White JP, Song J, Cho PD, Zappacosta H, McKay S, Abramov A, Daniel M, Seto T, West S, Telesca D, Husain M, Saha A, Ardehali[...]

Lee Y, Feng J, Rahrooh A, Bui AAT, Cooper CB, Hsu JJ. Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing.[...]

Farrand E, Chung A, Joshua J, Dong H, Mills H, Lee A, Ieong M, Radhakrishnan L, Gologorskaya O, Butte A. Development and validation of a[...]

Li S, Zeng W, Li W, Liu CC, Zhou Y, Ni X, Stackpole ML, Yeh AH, Melehy A, Lu DS, Raman SS, Hsu W, Mishra[...]

Shin J, Cooley ME, Hammer MJ, Yang CJ, Hajime U, Maiorino E, Casaburi R, Boueiz ARE, Estepar RSJ, Castaldi PJ; COPDGene Investigators. Clinical History, Spirometry,[...]

Chin JH, Wyburd MK, Ayzenberg V, Bayet L, Bilgic B, Chen EM, Chen Y, Dineen Á, Fujita S, Liu J, Jun Y, Camacho MC, Zöllei[...]