PURPOSE: Natural language processing (NLP) techniques have been adopted to reduce the curation costs of electronic health records. However, studies have questioned whether such techniques can be applied to data from previously unseen institutions. We...
Brain and nerve = Shinkei kenkyu no shinpo
Jul 1, 2019
Natural language processing (NLP) is a technology in which a computer processes human "natural language" directly. Along with the development of technologies such as automatic morphological analysis and transition words or sentences to vectors, more ...
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2019
OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes.
Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Jun 30, 2019
Objectives Medical knowledge extraction (MKE) plays a key role in natural language processing (NLP) research in electronic medical records (EMR), which are the important digital carriers for recording medical activities of patients. Named entity reco...
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.
BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Little is known of racial/ethnic differences in MST reporting in the Veterans Health Administration (VHA).
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2019
OBJECTIVE: We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions, symptoms, laboratory tests or behavi...
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