A knowledge construction methodology to automate case‐based learning using clinical documents

Author:

Ali Maqbool12ORCID,Hussain Jamil1,Lee Sungyoung1,Kang Byeong Ho2,Sattar Kashif3

Affiliation:

1. Department of Computer Science and EngineeringKyung Hee University Gyeonggi 446‐701 Yongin Republic of Korea

2. School of Engineering and ICTUniversity of Tasmania Tasmania 7005 Hobart Australia

3. University Institute of Information TechnologyPMAS‐Arid Agriculture University Rawalpindi Pakistan

Funder

Institute for Information & Communications Technology Promotion (IITP), Ministry of Science and ICT, Republic of Korea

Ministry of Trade, Industry & Energy (MI), Republic of Korea

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference78 articles.

1. Automatic extraction of semantic relations between medical entities: a rule based approach

2. Folksonomies versus automatic keyword extraction: An empirical study;Al‐Khalifa H. S.;IADIS International Journal On Computer Science And Information Systems (IJCSIS),2006

3. Aletras N. &Stevenson M.(2013).Evaluating topic coherence using distributional semantics. InProceedings of the 10th International Conference on Computational Semantics (IWCS 2013)–Long Papers Potsdam Germany pp.13–22.

4. A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules

5. uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features

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