Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2018
OBJECTIVE: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lex...
Journal of the American Medical Informatics Association : JAMIA
May 1, 2018
OBJECTIVE: Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical i...
Journal of the American Medical Informatics Association : JAMIA
May 1, 2018
Incorrect imaging protocol selection can lead to important clinical findings being missed, contributing to both wasted health care resources and patient harm. We present a machine learning method for analyzing the unstructured text of clinical indica...
Journal of the American Medical Informatics Association : JAMIA
May 1, 2018
OBJECTIVE: To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2018
We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are ident...
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2018
The gap between domain experts and natural language processing expertise is a barrier to extracting understanding from clinical text. We describe a prototype tool for interactive review and revision of natural language processing models of binary con...
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2018
OBJECTIVE: Data integration methods that combine data from different molecular levels such as genome, epigenome, transcriptome, etc., have received a great deal of interest in the past few years. It has been demonstrated that the synergistic effects ...
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2018
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-cigarette adverse event studies have achieved low detection rates due to limited subject sample sizes in...
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2017
OBJECTIVES: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make th...
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
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