Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...
The goal of ham is to provide different modeling approaches to evaluating healthcare programs (or programs in other fields) with regression analysis. This includes standard regression methods like ...
Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
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