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A Clinical Decision Support System for Diabetic Retinopathy Screening: Creating a Clinical Support Application
Author(s) -
Pedro RomeroAroca,
Aı̈da Valls,
Antonio Moreno,
Ramón Sagarra,
Josep Basora,
Emran Saleh,
Marc BagetBernaldiz,
Domènec Puig
Publication year - 2018
Publication title -
telemedicine journal and e-health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 73
eISSN - 1556-3669
pISSN - 1530-5627
DOI - 10.1089/tmj.2017.0282
Subject(s) - diabetic retinopathy , microalbuminuria , decision tree , random forest , medicine , fuzzy logic , clinical decision support system , computer science , data mining , artificial intelligence , machine learning , decision support system , diabetes mellitus , renal function , endocrinology
The aim of this study was to build a clinical decision support system (CDSS) in diabetic retinopathy (DR), based on type 2 diabetes mellitus (DM) patients.

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