A semantically enriched text mining system for clinical decision support-Reference-Cited by-同舟云学术

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A semantically enriched text mining system for clinical decision support

Published:2020-04-07 Issue:4 Volume:37 Page:1545-1570
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Luque Carmen¹,Luna José M.¹²^ORCID,Ventura Sebastián¹²³

Affiliation:

1. Knowledge Discovery and Intelligent Systems in Biomedicine Laboratory, Maimonides Biomedical Research Institute of Cordoba Córdoba Spain

2. Department of Computer Science and Numerical Analysis, University of Córdoba Córdoba Spain

3. Faculty of Computing and Information Technology, King Abdulaziz University Jeddah Saudi Arabia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12322

Reference28 articles.

1. MenasalvasE Rodriguez‐GonzalezA CostumeroR AmbitH GonzaloC. Clinical narrative analytics challenges. Paper presented at: Proceedings of the International Joint Conference on Rough Sets;2016:23‐32; Springer Cham.

2. An advanced review on text mining in medicine;Luque C;WIREs Data Mining Knowl Discov,2019

3. Mining electronic health records: towards better research applications and clinical care

4. Medical subject headings (MeSH);Lipscomb CE;Bull Med Libr Assoc,2000

5. A Tutorial on Multilabel Learning

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