Multi-layer Representation Learning and Its Application to Electronic Health Records

Shan Yang; Xiangwei Zheng; Cun Ji; Xuanchi Chen

doi:10.1007/s11063-021-10449-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-layer Representation Learning and Its Application to Electronic Health Records

Shan Yang Xiangwei Zheng Cun Ji Xuanchi Chen

Year: 2021 Journal: Neural Processing Letters Vol: 53 (2)Pages: 1417-1433 Publisher: Springer Science+Business Media

DOI: 10.1007/s11063-021-10449-2

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Health records Representation (politics) Code (set theory) Artificial intelligence Health informatics Layer (electronics) Machine learning Feature learning Diagnosis code Informatics Raw data Electronic health record Data mining Health care Medicine

Metrics

Cited By

1.55

FWCI (Field Weighted Citation Impact)

Refs

0.85

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Learning in Healthcare

Physical Sciences → Computer Science → Artificial Intelligence

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

Traditional Chinese Medicine Studies

Health Sciences → Medicine → Complementary and alternative medicine

Multi-layer Representation Learning and Its Application to Electronic Health Records

Metrics

Citation History

Topics

Related Documents

Multi-task deep representation learning method for electronic health records

Multi-perspective patient representation learning for disease prediction on electronic health records

Deep Stable Representation Learning on Electronic Health Records

Representation Learning for Electronic Health Records: A Survey

Point-process-based Representation Learning for Electronic Health Records