Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …

Biobanks linked to electronic health records provide rich resources for health‐related
research. With improvements in administrative and informatics infrastructure, the availability …

OBJECTIVES: To evaluate the methodologic rigor and predictive performance of models
predicting ICU readmission; to understand the characteristics of ideal prediction models; and …

The continual growth of electronic medical record (EMR) databases has paved the way for
many data mining applications, including the discovery of novel disease-drug associations …

This article presents a survey on diagnosis code prediction from various information in
Electronic Health Records (EHR): both unstructured free text and structured data …

Biobanks linked to electronic health records provide a rich data resource for health-related
research. With the establishment of large-scale infrastructure, the availability and utility of …

Electronic medical records (EMRs) are the digital equivalent of paper records at a clinician's
office. They contain patient information such as treatment and medical history, and have …

Implementing machine learning in healthcare has increased in the past years. Representing
clinical data is the Crux of machine learning. Learning informative features can improve the …

For stroke patients in the ICU, optimal blood pressure management remains an open area of
research. Numerous observational studies and clinical trials on both ischemic and …