Background: Predicting drug-related associations is an important task in drug development
and discovery. With the rapid advancement of high-throughput technologies and various …

Background An aging population with a burden of chronic diseases puts increasing
pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be …

Aim To evaluate the completion of nursing records through scheduled audits to analyse risk
outcome indicators. Background Nursing records support clinical decision‐making and …

Electronic health record (EHR) resources are valuable but remain underexplored because
most clinical information, especially phenotype information, is buried in the free text of EHRs …

Real world data have enhanced healthcare research, improving our understanding of
disease progression, aiding in diagnosis, and enabling the development of personalized …

Abstract Objective Electronic health records (EHRs) provide opportunities for the
development of computable predictive tools. Conventional machine learning methods and …