Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

Importance Natural language processing (NLP) has the potential to accelerate translation of
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …

Objective Electronic health records (EHRs) are a promising source of data for health
outcomes research in oncology. A challenge in using EHR data is that selecting cohorts of …

IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and
intrinsic factors, including host genetics, the immune system, environmental factors and the …

Background The medical subdomain of a clinical note, such as cardiology or neurology, is
useful content-derived metadata for developing machine learning downstream applications …

This issue of JAMIA focuses on natural language processing (NLP) techniques for clinical-
text information extraction. Several articles are offshoots of the yearly 'Informatics for …

Purpose This paper reviews the research literature on text mining (TM) with the aim to find
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …

Background: Vitiligo is a common disorder of depigmentation that has been associated with
other autoimmune diseases. No recent large-scale data exist on the rates of comorbidities …

Objective The US Department of Veterans Affairs (VA) has engaged in substantial efforts to
promote the use of evidence-based psychotherapies for posttraumatic stress disorder …

To improve methods of estimating use of evidence-based psychotherapy for posttraumatic
stress disorder in the Veteran's health administration, we evaluated administrative data and …