From data mining rules to medical logical modules and medical advices.
Using data mining in collaboration with Clinical Decision Support Systems adds new knowledge as support for medical diagnosis. The current work presents a tool which translates data mining rules supporting generation of medical advices to Arden Syntax formalism. The developed system was tested with data related to 2326 births that took place in 2010 at the Bega Obstetrics - Gynaecology Hospital, Timişoara. Based on processing these data, 14 medical rules regarding the Apgar score were generated and then translated in Arden Syntax language.
Department of Automation and Applied Informatics, University "Politehnica" of Timişoara, România.
Valentin
V
Gomoi
Mihaela
M
Vida
Raul
R
Robu
Vasile
V
Stoicu-Tivadar
Elena
E
Bernad
Oana
O
Lupşe
D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining / Q000592:standards*; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records / Q000592:standards*; D016015:Logistic Models; D008498:Medical Record Linkage / Q000592:standards*; D009323:Natural Language Processing; D017410:Practice Guidelines as Topic; D011381:Programming Languages; D012383:Romania