Towards Digital Ontology of ME/CFS in Self-Management and Assistance Applications

Activity: Talk or presentation types › Oral presentation

Description

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic debilitating medical condition of unknown aetiology. While clinical diagnostics is increasingly entering common medical practice, especially post-COVID, absence of validated biomedical framework not only complicates disease progression and prediction, but also makes access to modern digital healthcare tools complex. Fuzzy ontology of ME/CFS keeps it at distance from integration into major global efforts in digital healthcare. While novel approaches to digital health solutions and apps is emerging, traditional, widely reimbursed toolkits are based on very mechanistic “computer=machine” methodologies.. Ontology databases analysed: University of Maryland School of Medicine Disease Ontology Project (https://disease-ontology.org/), EMBL-EBI OLS Ontology database (https://www.ebi.ac.uk/ols/), National Cancer Institute Thesaurus (https://ncit.nci.nih.gov/), National Library of Medicine MESH database (https://meshb.nlm.nih.gov/), Alliance of Genome Resources Database (https://www.alliancegenome.org/), SNOMED CT Browser (https://browser.ihtsdotools.org/), ICD-9, 10, 11, literature analysis on ME/CFS classification cases and ME/CFS – related syndromes as PAIS, PAPIS.. ME/CFS ontology is dominated by very poor classification tree under “syndromes”, where we can count also ICD-10:R53.82. Specific classifications are under diseases of nervous system as ICD10:G93.3 and MESH classification tree for musculoskeletal diseases. Case evidence as Royal Free epidemic outbreak analysis demonstrate that availability of proper toolkit (mathematical modelling of infectious disease) can deliver a great contribution to proper classification.. Participation in digital healthcare and reimbursement of very much needed digital devices, apps, etc. depends on ability to press the disease ontology into proper digital profile. Digitalisation of lab tests, imaging, and disability accession platforms increases the patient dependence of fitting the proper shortened clinical pathway initially and at regular intervals. ME/CFS ontology as a post-viral syndrome has an advantage as not putting a straightjacket on individual natural course, but can have disadvantages of not delivering (symptomatic) treatments located on diverging ontological trees.Funding. Latvian Council of Science: LZP-2019/1-0380
Period29 Mar 2023
Event titleRSU International Research Conference 2023: Knowledge for Use in Practice
Event typeConference
OrganiserRīga Stradiņš University
LocationRiga, LatviaShow on map
Degree of RecognitionInternational

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