The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …

Imaging research laboratories are rapidly creating machine learning systems that achieve
expert human performance using open-source methods and tools. These artificial …

We demonstrate the importance of explicit definitions of electronic health record (EHR) data
completeness and how different conceptualizations of completeness may impact findings …

Idiosyncratic drug-induced liver injury (DILI) is a rare disease that develops independently of
drug dose, route, or duration of administration. Furthermore, idiosyncratic DILI is not a single …

With the completion of the Human Genome Project1 as well as recent advances in genomic
science and comparative biological studies, a new era of individualized medicine is evolving …

Predicting patients' risk of developing certain diseases is an important research topic in
healthcare. Accurately identifying and ranking the similarity among patients based on their …

Objective Traditionally, patient groups with a phenotype are selected through rule-based
definitions whose creation and validation are time-consuming. Machine learning …

The convergence of two rapidly developing technologies-high-throughput genotyping and
electronic health records (EHRs)-gives scientists an unprecedented opportunity to utilize …

The rapidly increasing availability of electronic health records (EHRs) from multiple
heterogeneous sources has spearheaded the adoption of data-driven approaches for …