Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
To create effective machine learning and deep learning models, you need copious amounts of data, a way to clean the data and perform feature engineering on it, and a way to train them on your data in ...
Machine generated contents note: ch. 1 Introduction: Learning to Change -- Preview -- The Constancy of Change -- Natural Selection -- Evolved Behavior -- Reflexes -- Modal Action Patterns -- General ...
College students who frequently text message during class have difficulty staying attentive to classroom lectures and consequently risk having poor learning outcomes, new research shows. Because it is ...
The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...
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