This paper is in the following e-collection/theme issue:

Machine Learning (1465) Artificial Intelligence (1371) Electronic Health Records (1053) Stroke (163)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19905, first published .
Patient Representation From Structured Electronic Medical Records Based on Embedding Technique: Development and Validation Study

Patient Representation From Structured Electronic Medical Records Based on Embedding Technique: Development and Validation Study

Patient Representation From Structured Electronic Medical Records Based on Embedding Technique: Development and Validation Study

Authors of this article:

Yanqun Huang1, 2 Author Orcid Image ;   Ni Wang1, 2 Author Orcid Image ;   Zhiqiang Zhang1, 2 Author Orcid Image ;   Honglei Liu1, 2 Author Orcid Image ;   Xiaolu Fei3 Author Orcid Image ;   Lan Wei3 Author Orcid Image ;   Hui Chen1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Yanqun Huang   1, 2 , BSc ;   Ni Wang   1, 2 , BSc ;   Zhiqiang Zhang   1, 2 , BSc ;   Honglei Liu   1, 2 , PhD ;   Xiaolu Fei   3 , PhD ;   Lan Wei   3 , PhD ;   Hui Chen   1, 2 , PhD

1 School of Biomedical Engineering, Capital Medical University, Beijing, China

2 Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China

3 Information Center, Xuanwu Hospital, Capital Medical University, Beijing, China

Corresponding Author:

  • Hui Chen, PhD
  • School of Biomedical Engineering
  • Capital Medical University
  • No 10, Xitoutiao, Youanmenwai, Fengtai District
  • Beijing, 100069
  • China
  • Phone: 86 1083911545
  • Email: chenhui@ccmu.edu.cn