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Telemedicine framework using case-based reasoning with evidences

Sene, Alsane and Kamsu-Foguem, Bernard and Rumeau, Pierre Telemedicine framework using case-based reasoning with evidences. (2015) Computer Methods and Programs in Biomedicine, 121 (1). 21-35. ISSN 0169-2607

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Official URL: http://www.sciencedirect.com/science/article/pii/S0169260715001108

Abstract

Telemedicine is the medical practice of information exchanged from one location to another through electronic communications to improve the delivery of health care services. This research article describes a telemedicine framework with knowledge engineering using taxonomic reasoning of ontology modeling and semantic similarity. In addition to being a precious support in the procedure of medical decision-making, this framework can be used to strengthen significant collaborations and traceability that are important for the development of official deployment of telemedicine applications. Adequate mechanisms for information management with traceability of the reasoning process are also essential in the fields of epidemiology and public health. In this paper we enrich the case-based reasoning process by taking into account former evidence-based knowledge. We use the regular four steps approach and implement an additional (iii) step: (i) establish diagnosis, (ii) retrieve treatment, (iii) apply evidence, (iv) adaptation, (v) retain. Each step is performed using tools from knowledge engineering and information processing (natural language processing, ontology, indexation, algorithm, etc.). The case representation is done by the taxonomy component of a medical ontology model. The proposed approach is illustrated with an example from the oncology domain. Medical ontology allows a good and efficient modeling of the patient and his treatment. We are pointing up the role of evidences and specialist's opinions in effectiveness and safety of care.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at : http://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine/
HAL Id:hal-01256707
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Santé et de la Recherche Médicale - INSERM (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Centre Hospitalier Universitaire de Toulouse - CHU Toulouse (FRANCE)
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Deposited By: Bernard KAMSU FOGUEM
Deposited On:06 Oct 2015 09:04

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