Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...
Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...
Background Humanitarian emergencies increase the risk of development or exacerbation of mental health conditions. This study documents how mental health differs between younger and older adults to ...
Objectives This study aimed to assess the prevalence of depression and anxiety and to identify factors associated with these conditions among caregivers of children and adolescents with epilepsy ...
Aim In the UK, pharmacological management of patients with heart failure (HF) occurs predominantly in general practice. Using ...
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