Deep learning describes a class of machine learning algorithms that are capable of combining
raw inputs into layers of intermediate features. These algorithms have recently shown …

Objective To evaluate the validity of, characterize the usage of, and propose potential research
applications for International Classification of Diseases, Ninth Revision (ICD-9) tobacco …

The value of utilizing a multigene pharmacogenetic panel to tailor pharmacotherapy is
contingent on the prevalence of prescribed medications with an actionable pharmacogenetic …

Precision medicine initiatives across the globe have led to a revolution of repositories
linking large-scale genomic data with electronic health records, enabling genomic analyses …

Defining patient-to-patient similarity is essential for the development of precision medicine
in clinical care and research. Conceptually, the identification of similar patient cohorts …

Objective The aim of this study was to analyze a publicly available sample of rule-based
phenotype definitions to characterize and evaluate the variability of logical constructs used. …

It is unclear the extent to which best practices for phenotyping disease states from electronic
medical records (EMRs) translate to phenotyping adverse drug events. Here we use statin-…

Objectives Manual record review is a crucial step for electronic health record (EHR)-based
research, but it has poor workflows and is error prone. We sought to build a tool that provides …

The blood thinner warfarin has a narrow therapeutic range and high inter- and intra-patient
variability in therapeutic doses. Several studies have shown that pharmacogenomic variants …

… Laura K Wiley , Laura K Wiley … Laura K Wiley, Peter Tarczy-Hornoch, Joshua C Denny,
Robert R Freimuth, Casey L Overby, Nigam Shah, Ross D Martin, Indra Neil Sarkar, Harnessing …