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Conference papers
An Ontology-Driven Adaptive System for the Patient Treatment Management
Abstract : Advances in the Web and healthcare data capture
technologies have far-reaching benefits for the development of
new clinical decision support systems that accelerate decision-
making and generate personalized treatments. However, the
diversity of healthcare data formats, the lack of computer
interpretable representation of medical interventions, and the
distribution of reliable medical
knowledge sources constitute
important barriers to better support the medical decision
process. To deal with these issues, we propose the Treatment Plan
Ontology (TPO) that formalizes medical interventions, and
allows medical systems sharing and reasoning over them. This
knowledge together with the acquired patient data are then
reused by the autonomic processes that we have developed in
order to timely detect anomalie
s and support the physicians in
personalizing the patient treatment at the right time. We
demonstrate the system efficiency through a use case for
managing hyperglycemia in type 2 diabetes.
https://hal-univ-pau.archives-ouvertes.fr/hal-01912861
Contributor : Gaelle Chancerel-Lannuzel <>
Submitted on : Monday, November 5, 2018 - 5:17:46 PM
Last modification on : Thursday, March 5, 2020 - 7:10:31 PM
Contributor : Gaelle Chancerel-Lannuzel <>
Submitted on : Monday, November 5, 2018 - 5:17:46 PM
Last modification on : Thursday, March 5, 2020 - 7:10:31 PM
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