Knowledge-based modelling applied to synucleinopathies

B. Kamsu-Foguem*, P. F. Tiako, E. Mutafungwa, C. Foguem

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)

Abstract

The adoption of telemedicine technologies has enabled collaborative programs involving a variety of links among distributed medical structures and health officials and professionals. The use for telemedicine for transmission of medical data and the possibility for several distant physicians to share their knowledge on given medical cases provides clear benefits, but also raises several unsolved conceptual and technical challenges. The seamless exchange and access of medical information between medical structures, health professionals, and patients is a prerequisite for the harmonious development of this new medical practice. This paper proposes a new approach of semantic interoperability for enabling mutual understanding of terminologies and concepts used. The proposed semantic interoperability approach is based on conceptual graph to support collaborative activities by describing how different health specialists can apply appropriate strategies to eliminate differential medical diagnosis. Intelligent analysis strategies are used to narrow down and pinpoint medical disorders. The model proposed is fully verified by a case study in the context of elderly patients and specifically dealing with synucleinopathies, a group of neurodegenerative diseases that include Parkinson's disease (PD), dementia with Lewy bodies (DLB), pure autonomic failure (PAF) and multiple system atrophy (MSA).

Original languageEnglish
Pages (from-to)381-388
Number of pages8
JournalEUROPEAN GERIATRIC MEDICINE
Volume6
Issue number4
DOIs
Publication statusPublished - 1 Jul 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • Collaboration
  • Geriatrics
  • Ontological knowledge
  • Semantic modelling
  • Telemedicine

Fingerprint Dive into the research topics of 'Knowledge-based modelling applied to synucleinopathies'. Together they form a unique fingerprint.

Cite this