Send to

Choose Destination
See comment in PubMed Commons below
Stud Health Technol Inform. 2017;235:186-190.

Development and Evaluation of a Case-Based Retrieval Service.

Author information

BiTeM Group, Information Science Department, University of Applied Sciences of Western Switzerland (HES-SO, HEG), Switzerland.
Department of Pediatric Cardiology and Cardiac Surgery, "Bambino Gesù" Children Hospital, Italy.


Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular treatment. Case-based retrieval services dealing with natural language processing are of major importance to deal with the significant amount of unstructured clinical data. In this paper, we present the development and evaluation of a case-based retrieval (CBR) service tested on a collection of Italian pediatric cardiology cases. Cases are indexed and a search engine is proposed. Search functionalities, such as interactive MeSH normalization and relevance feedback, are proposed. While the qualitative evaluation aims to provide feedback and recommendations, the quantitative evaluation enables to estimate the precision of the system. In more than half of the cases and for up to two thirds of them, the system is able to suggest a similar episode of care at first rank. With an improvement of the feedback relevance strategy, we can expect an improvement of the precision. The CBR can be expanded to multilingual EHR and other fields.


Natural language processing; electronic health record; ontology

PubMed Commons home

PubMed Commons

How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for IOS Press
    Loading ...
    Support Center