AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA
Showing 331 to 340 of 493 articles
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...
Formal representation of patients' care context data: the path to improving the electronic health record.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: To develop a collection of concept-relationship-concept tuples to formally represent patients' care context data to inform electronic health record (EHR) development.
A systematic literature review of automatic Alzheimer's disease detection from speech and language.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify ...
Synthetic minority oversampling of vital statistics data with generative adversarial networks.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: Minority oversampling is a standard approach used for adjusting the ratio between the classes on imbalanced data. However, established methods often provide modest improvements in classification performance when applied to data with extrem...
Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design ...
Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: Normalizing clinical mentions to concepts in standardized medical terminologies, in general, is challenging due to the complexity and variety of the terms in narrative medical records. In this article, we introduce our work on a clinical n...
The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.
Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task track 3, focused on medical concept normalization (MCN) in clinical records. This track aimed to assess the state of the art...
Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient...
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