PIAT: An Evolutionarily Intelligent System for Deep Phenotyping of Chinese Electronic Health Records-Reference-Cited by-同舟云学术

PIAT: An Evolutionarily Intelligent System for Deep Phenotyping of Chinese Electronic Health Records

Published:2022-08 Issue:8 Volume:26 Page:4142-4152
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Deng Lizong¹^ORCID,Zhang Xu¹^ORCID,Yang Tao²^ORCID,Liu Mi³^ORCID,Chen Luming²^ORCID,Jiang Taijiao¹^ORCID

Affiliation:

1. Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

2. Guangzhou Laboratory, Guangzhou, China

3. Jiangsu Institute of Clinical Immunology, Jiangsu Key Laboratory of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, China

Funder

National Key Research and Development Program of China

CAMS Innovation Fund for Medical Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09780554.pdf?arnumber=9780554

Reference45 articles.

1. Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings

2. ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports

3. An overview of MetaMap: historical perspective and recent advances

4. The Unified Medical Language System (UMLS): integrating biomedical terminology

5. LATTE: A knowledge-based method to normalize various expressions of laboratory test results in free text of Chinese electronic health records

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