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Publication

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.

Tsendsuren Munkhdalai | Feifan Liu | Hong Yu
JMIR public health and surveillance | 2018

Medication and adverse drug event (ADE) information extracted from electronic health record (EHR) notes can be a rich resource for drug safety surveillance. Existing observational studies have mainly relied on structured EHR data to obtain ADE information; however, ADEs are often buried in the EHR narratives and not recorded in structured data.

Pubmed ID: 29695376

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Associated grants

  • Agency: NIDA NIH HHS, United States
    Id: R01 DA045816
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL125089
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL137794

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RRID:SCR_015031

Program to map biomedical text to the UMLS Metathesaurus and to discover Metathesaurus concepts referred to in text based on symbolic, natural-language processing and computational-linguistic techniques.

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The Stimulating Peripheral Activity to Relieve Conditions (SPARC) effort is the result of National Institutes of Health’s (NIH) drive to map out the neural circuitry responsible for visceral control in higher vertebrates. The SPARC Anatomy Working Group (SAWG) is responsible for the integrity of anatomical knowledge in SPARC

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