StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
cRoche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Basel, Switzerland dCenter for Cognitive and Computational ...
1 Accra Institute of Technology, Advanced School of Systems and Data Studies (ASSDAS), Accra, Ghana. 2 Accra Institute of Technology, Accra, Ghana. 3 Knowledge Web Centre, Accra, Ghana. 4 Department ...
Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California 90048, United States Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, ...
SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...
All models were developed in Python 3.8.5. Logistic regression, random forests, gradient-boosted decision trees (GBDT), and deep feedforward neural networks (DNN) were the tested machine learning ...
aWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London UK ...
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