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A decision tree technique is used to build a single framework consisting of every possible diabetes complication in the decision process. Coping with the complex medical system for the prevention of diabetes and diabetic complications, a patient-centered framework gives the patient interactive, transparent and useful information for better communication in the decision process that includes experts\u2019 experience as well as the value of the prediction generated from population-based data.<\/jats:p>","DOI":"10.3233\/jid-220012","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T11:33:44Z","timestamp":1665747224000},"page":"27-39","source":"Crossref","is-referenced-by-count":2,"title":["A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration"],"prefix":"10.1177","volume":"27","author":[{"given":"Hsing","family":"Luh","sequence":"first","affiliation":[{"name":"Department of Mathematical Sciences, National Chengchi University, Taipei City, Taiwan"}]},{"given":"Ming-Yen","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan"},{"name":"Department of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan"}]},{"given":"Ping-Hsun","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Division of Nephrology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan"},{"name":"Department of Renal Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan"}]}],"member":"179","reference":[{"issue":"Suppl 1","key":"10.3233\/JID-220012_ref1","doi-asserted-by":"publisher","first-page":"S81","DOI":"10.2337\/dc19-S008","article-title":"Obesity Management for the Treatment of Type Diabetes: Standards of Medical Care in Diabetes","volume":"42","author":"American Diabetes, A.","year":"2019","journal-title":"Diabetes Care"},{"issue":"4","key":"10.3233\/JID-220012_ref2","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1109\/JBHI.2015.2450362","article-title":"Big Data for Health","volume":"19","author":"Andreu-Perez,","year":"2015","journal-title":"IEEE J. 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