Chloé Desjardins, Jennifer Lacroix Haraysm, Joseph Abdoulnour, Manon Denis-LeBlanc, Daniel Hubert, Salomon Fotsing, Diane Bouchard Lamothe, Sylvain Boet
Portrait of French-speaking minorities with respect to vaccination against COVID-19
Canada communicable disease report = Releve des maladies transmissibles au Canada
diabetic macular edema dme significant complication diabetes impacts eye primary contributor vision loss individuals diabetes early control related risk factors crucial reduce incidence dme artificial intelligence ai clinical decisionmaking tools construct disease prediction models aid clinical screening highrisk population early disease intervention however conventional machine learning data mining techniques limitations predicting diseases dealing missing feature values solve problem knowledge graph displays connection relationships multisource multidomain data form semantic network enable crossdomain modeling queries approach facilitate personalized prediction diseases using number known feature data study proposed improved correlation enhancement algorithm based knowledge graph reasoning comprehensively evaluate factors influence dme achieve disease prediction constructed knowledge graph based neo4j preprocessing collected clinical data analyzing statistical rules based reasoning using statistical rules knowledge graph used correlation enhancement coefficient generalized closeness degree method enhance model meanwhile analyzed verified models results using link prediction evaluation indicators disease prediction model proposed study achieved precision rate 8621 accurate efficient predicting dme furthermore clinical decision support system developed using model facilitate personalized disease risk prediction making convenient clinical screening highrisk population early disease intervention