Abstract
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. We built a CDSS from a sample of 2,323 patients, divided into a training set of 1,212 patients, and a testing set of 1,111 patients. The CDSS is based on a fuzzy random forest, which is a set of fuzzy decision trees. A fuzzy decision tree is a hierarchical data structure that classifies a patient into several classes to some level, depending on the values that the patient presents in the attributes related to the DR risk factors. Each node of the tree is an attribute, and each branch of the node is related to a possible value of the attribute. The leaves of the tree link the patient to a particular class (DR, no DR). A CDSS was built with 200 trees in the forest and three variables at each node. Accuracy of the CDSS was 80.76%, sensitivity was 80.67%, and specificity was 85.96%. Applied variables were current age, gender, DM duration and treatment, arterial hypertension, body mass index, HbA1c, estimated glomerular filtration rate, and microalbuminuria. Some studies concluded that screening every 3 years was cost effective, but did not personalize risk factors. In this study...Continue Reading
References
Apr 1, 1995·Diabetologia·S J AldingtonA K Sjølie
Feb 10, 2000·The New England Journal of Medicine·UNKNOWN Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research GroupDavid M Nathan
Nov 6, 2008·International Journal of Systematic and Evolutionary Microbiology·Angel ValverdeJosé M Igual
Nov 10, 2009·Diabetes Research and Clinical Practice·J E ShawP Z Zimmet
Mar 2, 2010·Diabetes Research and Clinical Practice·Pedro RomeroMarc Baget
Jun 12, 2010·Diabetic Medicine : a Journal of the British Diabetic Association·S Jones, R T Edwards
May 4, 2012·Computer Methods and Programs in Biomedicine·Marwan D Saleh, C Eswaran
Mar 26, 2014·The British Journal of Ophthalmology·Rupert R A BourneUNKNOWN Vision Loss Expert Group of the Global Burden of Disease Study
Sep 11, 2014·Diabetes·UNKNOWN Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research GroDavid M Nathan
Sep 19, 2015·Health Technology Assessment : HTA·Peter H ScanlonIrene M Stratton
Nov 13, 2015·Medicine·Bin WuHaixiang Wu
Jan 16, 2016·The British Journal of Ophthalmology·Pedro Romero-ArocaNuria Soler
Mar 10, 2016·Indian Journal of Ophthalmology·Carmen ValverdeMaria I Lopez-Galvez
Aug 6, 2016·BMC Ophthalmology·Pedro Romero-ArocaDomenec Puig
Nov 2, 2016·Computational and Structural Biotechnology Journal·Renátó BesencziAndrás Hajdu
Nov 30, 2016·JAMA : the Journal of the American Medical Association·Varun GulshanDale R Webster
Mar 9, 2017·The British Journal of Ophthalmology·Pedro Romero-ArocaNuria Soler
Oct 27, 2017·Journal of Clinical & Translational Endocrinology·Maribel LópezEva Fuster
Citations
Nov 5, 2019·Telemedicine Journal and E-health : the Official Journal of the American Telemedicine Association·Pedro Romero-ArocaMarc Baget-Bernaldiz
Mar 30, 2020·Der Internist·F EckeltT Kaiser
May 19, 2021·Translational Vision Science & Technology·Pedro Romero-ArocaMarc Baget-Bernaldiz