Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information-Reference-Cited by-同舟云学术

Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information

Published:2021 Issue: Volume: Page:521-540
ISSN:1865-0929
Container-title:Biomedical Engineering Systems and Technologies
language:
Short-container-title:

Author:

Almeida João Rafael^ORCID,Silva João Figueira^ORCID,Sierra Alejandro Pazos^ORCID,Matos Sergio^ORCID,Oliveira José Luís^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-72379-8_26

Reference37 articles.

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2. Almeida, J.R., Oliveira, J.L.: GenericCDSS-a generic clinical decision support system. In: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), pp. 186–191. IEEE (2019)

3. Almeida, J.R., Matos, S.: Rule-based extraction of family history information from clinical notes. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, SAC 2020, pp. 670–675. Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3341105.3374000

4. Almeida, J.R., Silva, J.F., Sierra, A.P., Matos, S., Oliveira, J.L.: Enhancing decision-making systems with relevant patient information by leveraging clinical notes. In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, vol. 5 HEALTHINF: HEALTHINF, pp. 254–262. INSTICC, SciTePress (2020)

5. Antunes, R., Silva, J.F., Pereira, A., Matos, S.: Rule-based and machine learning hybrid system for patient cohort selection. In: Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies, vol. 2: HEALTHINF, pp. 59–67. INSTICC, SciTePress (2019). https://doi.org/10.5220/0007349300590067