Similarity of Medical Cases in Health Care Using Cosine Similarity and Ontology

Begum, ShahinaMälardalens högskola,Institutionen för datavetenskap och elektronik (author)

The increasing use of digital patient records in hospital saves both time and reduces risks wrong treatments caused by lack of information. Digital patient records also enable efficient spread and transfer of experience gained from diagnosis and treatment of individual patient. This is today mostly manual (speaking with col-leagues) and rarely aided by computerized system. Most of the content in patient re-cords is semi-structured textual information. In this paper we propose a hybrid tex-tual case-based reasoning system promoting experience reuse based on structured or unstructured patient records, case-based reasoning and similarity measurement based on cosine similarity metric improved by a domain specific ontology and the nearest neighbor method. Not only new cases are learned, hospital staff can also add comments to existing cases and the approach enables prototypical cases.

Ahmed, Mobyen UddinMälardalens högskola,Institutionen för datavetenskap och elektronik(Swepub:mdh)mad02 (author)
Funk, PeterMälardalens högskola,Institutionen för datavetenskap och elektronik(Swepub:mdh)pfk01 (author)
Xiong, NingMälardalens högskola,Institutionen för datavetenskap och elektronik(Swepub:mdh)nxg01 (author)
von Schéele, BoMälardalens högskola,Institutionen för datavetenskap och elektronik (author)
Mälardalens högskolaInstitutionen för datavetenskap och elektronik (creator_code:org_t)

By the author/editor: Begum, Shahina; Ahmed, Mobyen Ud ...; Funk, Peter; Xiong, Ning; von Schéele, Bo

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Computer Systems

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