Deep Learning Techniques for Electronic Health Record (EHR) Analysis-Reference-Cited by-同舟云学术

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Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Published:2020-07-22 Issue: Volume: Page:73-103
ISSN:1860-949X
Container-title:Bio-inspired Neurocomputing
language:
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Author:

Poongodi T.,Sumathi D.,Suresh P.,Balusamy Balamurugan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5495-7_5

Reference45 articles.

1. Xu, R., Li, L., Wang, Q.: dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text. BMC Bioinform. 15(105) (2014)

2. Jensen, P.B., Jensen, L.J., Brunak, S.: Mining electronic health records: towards better research applications and clinical care. Nat. Rev. Genet. 13, 395–405 (2012)

3. Unified Medical Language System (UMLS). https://www.nlm.nih.gov/research/umls/

4. Mohan, A., Blough, D.M., Kurc, T, Post, A., Saltz, J. Detection of conflicts and inconsistencies in taxonomy-based authorization policies. In: Proceedings IEEE International Conference on Bioinformatics and Biomedicine, pp. 590–594 (2011)

5. Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35, 1798–1828 (2013)

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