Results 91 to 100 of about 674 (121)

Machine learning-based prediction of preterm birth risk using methylation changes in neonatal cord blood CpG sites. [PDF]

BMC Pregnancy Childbirth
Feng Y, Ni Y, Wang W, Guo F, Wang L, Zhu F, Zhang L, Feng Y.   +7 more
europepmc   +1 more source

Outcome adaptive propensity score methods for handling censoring and high-dimensionality: Application to insurance claims. [PDF]

Stat Methods Med Res
Du J, Yu Y, Zhang M, Wu Z, Ryan AM, Mukherjee B.   +5 more
europepmc   +1 more source

Omics feature selection with the extended SIS R package: identification of a body mass index epigenetic multimarker in the Strong Heart Study. [PDF]

Am J Epidemiol
Domingo-Relloso A, Feng Y, Rodriguez-Hernandez Z, Haack K, Cole SA, Navas-Acien A, Tellez-Plaza M, Bermudez JD.   +7 more
europepmc   +1 more source

A Commentary on Chatterjee Et Al. (2018): A Corrected Framework for Group Sparsity in Zero-Inflated Negative Binomial Models. [PDF]

Stat Med
Iqbal A, Mallick H, Ogundimu EO.
europepmc   +1 more source

Variable selection in mixture cure models using elastic net penalty: application to COVID-19 data. [PDF]

PLoS One
Ramalata A, Adekpedjou A, Lesaoana M.
europepmc   +1 more source

A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus. [PDF]

J Clin Med
Lee KA, Kim JS, Kim YJ, Goak IS, Jin HY, Park S, Kang H, Park TS.   +7 more
europepmc   +1 more source

Beyond the STI clinic: Use of administrative claims data and machine learning to develop and validate patient-level prediction models for gonorrhea. [PDF]

Digit Health
Argante L, Lonnet G, Aris E, Whelan J.
europepmc   +1 more source

James-Stein Estimator Improves Accuracy and Sample Efficiency in Human Kinematic and Metabolic Data. [PDF]

Ann Biomed Eng
Alwan A, Srinivasan M.
europepmc   +1 more source

Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol. [PDF]

Syst Rev
Bu F, Xu R, Zhao X, He Q, Wen Y, Xiong L, Qin L, Guan H.   +7 more
europepmc   +1 more source