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Information extraction from Italian medical reports: An ontology-driven approach

  • Published:2018-03 Issue: Volume:111 Page:140-148
  • ISSN:1386-5056
  • Container-title:International Journal of Medical Informatics
  • language:en
  • Short-container-title:International Journal of Medical Informatics

Author:

Viani Natalia,Larizza Cristiana,Tibollo Valentina,Napolitano Carlo,Priori Silvia G.,Bellazzi Riccardo,Sacchi Lucia

Publisher

Elsevier BV

Subject

Health Informatics

Reference30 articles.

1. Maintaining awareness using policies; Enabling agents to identify relevance of information;Talaei-Khoei;J. Comput. Syst. Sci.,2012

2. What can natural language processing do for clinical decision support?;Demner-Fushman;J. Biomed. Inf.,2009

3. Extracting information from textual documents in the electronic health record: a review of recent research;Meystre;Yearb Med. Inf.,2008

4. Recent advances in clinical natural language processing in support of semantic analysis;Velupillai;Yearb. Med. Inf.,2015

5. Unified Medical Language System (UMLS), https://www.nlm.nih.gov/research/umls/. (Accessed 7 January 2017).

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2. Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges;IEEE Access;2023

3. A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers;Artificial Intelligence in Medicine;2023

4. Data structuring of electronic health records: a systematic review;Health and Technology;2021-10-29

5. An Ontology-Driven Structured Processing Method for History of Present Illness of Discharge Summary;2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2021-10
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