Results 121 to 130 of about 7,493 (200)

Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data. [PDF]

BMC Pediatr
Gotine AREM, Victor A, Xavier SP.
europepmc   +1 more source

Machine learning model for unfavorable outcome prediction in neurosurgical patients: the potential role of liver function markers. [PDF]

Front Neurol
Fan Y, Zhang J, Wu L, An S, Wei Y, Sun J, Tian Y, Zhang H.   +7 more
europepmc   +1 more source

Predicting orchiectomy in testicular torsion using hybrid machine learning and explainable AI: a web-based clinical decision support system. [PDF]

World J Urol
Çift A, Kutlu H, Çoban F, Sulhan H, Sever S, Koç MK, Kılınç M, Kalyenci B.   +7 more
europepmc   +1 more source

Predicting major adverse cardiovascular and cerebrovascular events in chronic heart failure: a machine learning study. [PDF]

Ann Med
Feng S, Fan B, Bai J, Gu Y, Li Z, Lu L, Wang D.   +6 more
europepmc   +1 more source

Gallstone disease classification using SLOA-optimized CatBoost classifier with explainable AI. [PDF]

PLoS One
Das P, Khan MAU, Sarker P, Nahid AA.
europepmc   +1 more source

Early Risk Stratification for 30-Day Mortality After In-Hospital Cardiac Arrest: SHAP Interpretable CatBoost Model with m-NUTRIC and Micronutrient Biomarkers. [PDF]

J Clin Med
Elay G, Güven A.
europepmc   +1 more source

Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models. [PDF]

Sci Rep
Abd-Rabbou MY, Zahia AA, Abdallah AM, Gouda AA, Qiao CF.   +4 more
europepmc   +1 more source

An ensemble machine learning model based on magnetic resonance imaging features for diagnosing deep infiltrating endometriosis. [PDF]

Front Physiol
Zhang L, Qing X, Zou J, Yang H, Yu L.
europepmc   +1 more source

Multimodal CT radiomics-clinical ensemble machine learning model effectively predicts futile recanalization after endovascular treatment of acute ischemic stroke. [PDF]

Front Neurosci
Wang Z, Gao Y, Xu P, Wu D, Li W, Huang H, Deng W, Xu H, Wei X, Li X.   +9 more
europepmc   +1 more source

Predicting methane adsorption in coal and shale with white-box and black-box machine learning models. [PDF]

Sci Rep
Sheikhshoaei AH, Hadavimoghaddam F, Abuswer MA, Mohaddespour A, Hemmati-Sarapardeh A, Atashrouz S.   +5 more
europepmc   +1 more source