Results 111 to 120 of about 1,926,955 (188)

Joint modelling of left- and interval-censored viral load for couples in Mozambique. [PDF]

PLoS One
Juga AJC, Hens N, Osman N, Aerts M.
europepmc   +1 more source

Development and validation of machine learning nomograms for predicting mortality after cardiac valve surgery. [PDF]

Front Med (Lausanne)
Macho MTN, Song Y, Wei A, Zhao X, Nethmini AD, Cheam S, Xing H, Fu L, Han Z, Li X, Fu Z, Fu Q.   +11 more
europepmc   +1 more source

Explainable machine learning integrating bioelectrical impedance for 6-month cardiovascular risk in peritoneal dialysis. [PDF]

Ren Fail
Tsai YL, Wu CL, Chiang JH.
europepmc   +1 more source

Privacy-preserving federated prediction of health outcomes using multi-center survey data. [PDF]

BMC Med Res Methodol
Das S, Rafiei M, Kammer PT, Skou ST, Grønne DT, Roos EM, Hajek A, König HH, Ullah MS, Probul N, Baumbach J, Baumbach L.   +11 more
europepmc   +1 more source

Graph Machine Learning Can Estimate Drug Concentrations in Whole Blood from Forensic Screening Results. [PDF]

Anal Chem
Lutchyn T, Mardal M, Nedahl M, Ricaud B.
europepmc   +1 more source

Comparing machine learning and artificial neural network models in psychological research: a ROC-based analysis. [PDF]

Front Psychol
Leitner ML, Arendasy M.
europepmc   +1 more source

Explainable Artificial Intelligence Unravels the Possible Distinct Roles of VKORC1 and CYP2C9 in Predicting Warfarin Anticoagulation Control. [PDF]

Med Sci (Basel)
Sridharan K, Sivaramakrishnan G.
europepmc   +1 more source

Using machine learning to identify unique predictors of alcohol and cannabis impaired driving. [PDF]

Alcohol Clin Exp Res (Hoboken)
Calhoun BH, Hultgren BA, McCabe CJ, Rhew IC, Larimer ME, Kilmer JR, Guttmannova K.   +6 more
europepmc   +1 more source

Development and internal validation of machine learning-based models for predicting admission hypothermia in preterm infants: a retrospective cohort study. [PDF]

Front Med (Lausanne)
Cao X, Peng Z, Yao S, Liu Z, Chang Y.
europepmc   +1 more source

Random Survival Forest Model for Predicting Recurrence of Postoperative Ovarian Endometrioma. [PDF]

Int J Womens Health
Zhang Y, Liu M, Zhao Z, Zhang Y, Hou S, Wang A.   +5 more
europepmc   +1 more source