Multi-layer Representation Learning and Its Application to Electronic Health Records-Reference-Cited by-同舟云学术

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

Published:2021-02-18 Issue:2 Volume:53 Page:1417-1433
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Yang Shan,Zheng Xiangwei,Ji Cun,Chen Xuanchi

Funder

National Natural Science Foundation of China

Key Technologies Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-021-10449-2.pdf

Reference41 articles.

1. Ardakani AA, Kanafi AR, Acharya UR, Khadem N, Mohammadi A (2020) Application of deep learning technique to manage covid-19 in routine clinical practice using ct images: results of 10 convolutional neural networks. Comput Biol Med 121:103795

2. Ashfaq A, Sant’Anna AP, Lingman M (2019) Readmission prediction using deep learning on electronic health records. J Biomed Inform 97:103256

3. Bai T, Zhang S, Egleston BL, Vucetic S (2018) Interpretable representation learning for healthcare via capturing disease progression through time. In: Acm Sigkdd international conference, pp 43–51

4. Bernardini M, Morettini M, Romeo L (2020) Early temporal prediction of type 2 diabetes risk condition from a general practitioner electronic health record: a multiple instance boosting approach. Artif Intell Med 105:101847

5. Cai X, Gao J, Ngiam KY, Ooi BC, Zhang Y, Yuan X (2018) Medical concept embedding with time-aware attention. In: Twenty-seventh international joint conference on artificial intelligence IJCAI-18, pp 3984–3990

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