An interpretable outcome prediction model based on electronic health records and hierarchical attention-Reference-Cited by-同舟云学术

An interpretable outcome prediction model based on electronic health records and hierarchical attention

Published:2021-10-11 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Du Juan¹^ORCID,Zeng Dajian²^ORCID,Li Zhao³^ORCID,Liu Jingxuan²^ORCID,Lv Mingqi²^ORCID,Chen Ling⁴^ORCID,Zhang Dan⁵^ORCID,Ji Shouling⁴^ORCID

Affiliation:

1. Department of Gastroenterology First Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China

2. College of Computer Science and Technology Zhejiang University of Technology Hangzhou China

3. Department of Gastroenterology and Hepatobiliary Ri Zhao Hospital of Traditional Chinese Medicine Rizhao China

4. College of Computer Science and Technology Zhejiang University Hangzhou China

5. Key Laboratory of Reproductive Genetics (Ministry of Education), Women's Hospital School of Medicine, Zhejiang University Hangzhou China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22697

Reference42 articles.

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3. An Application of Fuzzy Prototypes to the Diagnosis and Treatment of Fuzzy Diseases

4. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

5. Predicting Hospital Readmission via Cost-Sensitive Deep Learning

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