Case-based retrieval of similar diabetic patients

Zufferey, Damien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Bromuri, Stefano (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Patients suffering from diabetes often develop several comorbidities such as hypertension and dyslipidemia. The presence of the comorbidities leads to more complex patient profiles associated with specific patient treatments. In this paper we present a novel algorithm to help physicians, given a new case, in retrieving similar past patient cases. This novel algorithm is based on the bag-of-words (BoW) model to encode as features, the occurrence of each pre-computed cluster, for each patient, according to the approach of document classification. We then evaluate the algorithm on a real de-identified dataset of 3201 diabetic patients, demonstrating the advantage of our approach.


Mots-clés:
Type de conférence:
full paper
Ecole:
HES-SO Valais-Wallis
Institut:
Institut Informatique de gestion
Classification:
Économie/gestion
Informatique
Autres
Adresse bibliogr.:
Istanbul, Turkey, 20-23 May 2015
Date:
Istanbul, Turkey
20-23 May 2015
2015
Pagination:
5 p.
Titre du document hôte:
Proceedings of Workshop on Personal Health Systems for Chronic Diseases (PHSCD) at Pervasive Health 2015
DOI:
ISSN:
978-1-63190-045-7
Ressource(s) externe(s):
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Note  Le statut de ce document est: non diffusé

Note: The status of this file is: restricted


 Notice créée le 2015-11-14, modifiée le 2017-10-16

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