{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T15:13:57Z","timestamp":1785510837564,"version":"3.56.0"},"reference-count":34,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100015090","name":"Imam Abdulrahman Bin Faisal University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015090","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007899","name":"University of Arizona","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007899","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020912","name":"King Faisal University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020912","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009392","name":"Prince Sattam bin Abdulaziz University","doi-asserted-by":"publisher","award":["PSAU\/2023\/R\/1444"],"award-info":[{"award-number":["PSAU\/2023\/R\/1444"]}],"id":[{"id":"10.13039\/100009392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004054","name":"King Abdulaziz University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aacejournalendocrinepractice.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Endocrine Practice"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1016\/j.eprac.2023.03.002","type":"journal-article","created":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T11:32:43Z","timestamp":1678275163000},"page":"448-455","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"title":["Proof-of-Concept Study of Using Supervised Machine Learning Algorithms to Predict Self-Care and Glycemic Control in Type 1 Diabetes Patients on Insulin Pump Therapy"],"prefix":"10.1016","volume":"29","author":[{"given":"Sawsan","family":"Kurdi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2091-1376","authenticated-orcid":false,"given":"Ahmad","family":"Alamer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haytham","family":"Wali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aisha F.","family":"Badr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Merri L.","family":"Pendergrass","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nehad","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivo","family":"Abraham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maryam T.","family":"Fazel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"14","key":"10.1016\/j.eprac.2023.03.002_bib1","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1056\/NEJM199309303291401","article-title":"The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus","volume":"329","year":"1993","journal-title":"N\u00a0Engl J Med"},{"issue":"5","key":"10.1016\/j.eprac.2023.03.002_bib2","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1007\/s00125-015-3513-z","volume":"58","author":"Heinemann","year":"2015","journal-title":"Diabetologia"},{"issue":"Suppl 2","key":"10.1016\/j.eprac.2023.03.002_bib3","doi-asserted-by":"crossref","first-page":"S259","DOI":"10.4103\/2230-8210.104055","article-title":"Continuous subcutaneous insulin infusion: practical issues","volume":"16","author":"Saboo","year":"2012","journal-title":"Indian journal of endocrinology and metabolism"},{"issue":"3","key":"10.1016\/j.eprac.2023.03.002_bib4","doi-asserted-by":"crossref","first-page":"533","DOI":"10.2337\/diacare.28.3.533","article-title":"Continuous subcutaneous insulin infusion (CSII) of insulin aspart versus multiple daily injection of insulin aspart\/insulin glargine in type 1 diabetic patients previously treated with CSII","volume":"28","author":"Hirsch","year":"2005","journal-title":"Diabetes Care"},{"issue":"11","key":"10.1016\/j.eprac.2023.03.002_bib5","doi-asserted-by":"crossref","first-page":"2590","DOI":"10.2337\/diacare.27.11.2590","article-title":"Continuous subcutaneous insulin infusion versus multiple daily injections: the impact of baseline A1c","volume":"27","author":"Retnakaran","year":"2004","journal-title":"Diabetes Care"},{"issue":"10","key":"10.1016\/j.eprac.2023.03.002_bib6","doi-asserted-by":"crossref","first-page":"1722","DOI":"10.2337\/diacare.24.10.1722","article-title":"Intensive insulin therapy with insulin lispro: a randomized trial of continuous subcutaneous insulin infusion versus multiple daily insulin injection","volume":"24","author":"Tsui","year":"2001","journal-title":"Diabetes Care"},{"issue":"5","key":"10.1016\/j.eprac.2023.03.002_bib7","doi-asserted-by":"crossref","first-page":"336","DOI":"10.7326\/0003-4819-157-5-201209040-00508","article-title":"Comparative effectiveness and safety of methods of insulin delivery and glucose monitoring for diabetes mellitus: a systematic review and meta-analysis","volume":"157","author":"Yeh","year":"2012","journal-title":"Annals of internal medicine"},{"issue":"11","key":"10.1016\/j.eprac.2023.03.002_bib8","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.2337\/dc19-0345","article-title":"Temporal trends and contemporary use of insulin pump therapy and glucose monitoring among children, adolescents, and adults with type 1 diabetes between 1995 and 2017","volume":"42","author":"van den Boom","year":"2019","journal-title":"Diabetes Care"},{"issue":"Supplement 1","key":"10.1016\/j.eprac.2023.03.002_bib9","first-page":"S85","article-title":"7. Diabetes technology: standards of medical care in diabetes\u20142021","volume":"44","year":"2021","journal-title":"Dia Care"},{"issue":"4","key":"10.1016\/j.eprac.2023.03.002_bib10","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1177\/2325160318780959","article-title":"AADE practice paper in brief: continuous subcutaneous insulin infusion (CSII) without and with sensor integration","volume":"6","author":"Yehl","year":"2018","journal-title":"AADE Pract."},{"issue":"5","key":"10.1016\/j.eprac.2023.03.002_bib11","doi-asserted-by":"crossref","first-page":"463","DOI":"10.4158\/EP14145.PS","article-title":"Consensus statement by the American Association of Clinical Endocrinologists\/American College of Endocrinology insulin pump management task force","volume":"20","author":"Grunberger","year":"2014","journal-title":"Endocr Pract"},{"key":"10.1016\/j.eprac.2023.03.002_bib12","article-title":"The retrospective chart review: important methodological considerations","volume":"10","author":"Matt","year":"2013","journal-title":"J\u00a0Educational Evaluation for Health Professions"},{"issue":"10","key":"10.1016\/j.eprac.2023.03.002_bib13","article-title":"Recommendations for reporting machine learning analyses in clinical research","volume":"13","author":"Stevens","year":"2020","journal-title":"Circulation: Cardiovascular Quality and Outcomes"},{"issue":"12","key":"10.1016\/j.eprac.2023.03.002_bib14","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1016\/S0895-4356(96)00236-3","article-title":"A\u00a0simulation study of the number of events per variable in logistic regression analysis","volume":"49","author":"Peduzzi","year":"1996","journal-title":"J\u00a0Clinical Epidemiology"},{"key":"10.1016\/j.eprac.2023.03.002_bib15","series-title":"Discovering statistics using R","author":"Field","year":"2012"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib16","first-page":"1","article-title":"Building predictive models in R using the caret package","volume":"28","author":"Kuhn","year":"2008","journal-title":"J\u00a0Stat Software"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib17","first-page":"421","article-title":"pdp: an R package for constructing partial dependence plots","volume":"9","author":"Greenwell","year":"2017","journal-title":"R\u00a0J"},{"key":"10.1016\/j.eprac.2023.03.002_bib18","article-title":"Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation","author":"Powers","year":"2020","journal-title":"arXiv"},{"issue":"15","key":"10.1016\/j.eprac.2023.03.002_bib19","doi-asserted-by":"crossref","first-page":"1688","DOI":"10.1001\/jama.2011.1515","article-title":"Risk prediction models for hospital readmission: a systematic review","volume":"306","author":"Kansagara","year":"2011","journal-title":"JAMA"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib20","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: a framework for some traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiology"},{"key":"10.1016\/j.eprac.2023.03.002_bib21","series-title":"MLeval: Machine learning model evaluation","author":"John","year":"2020"},{"key":"10.1016\/j.eprac.2023.03.002_bib22","series-title":"shiny: web application framework for R","author":"Chang","year":"2016"},{"issue":"2","key":"10.1016\/j.eprac.2023.03.002_bib23","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1177\/1932296816666538","article-title":"Self-management behaviors in adults on insulin pump therapy: what are patients really doing?","volume":"11","author":"Groat","year":"2017","journal-title":"J\u00a0Diabetes Sci Technol"},{"key":"10.1016\/j.eprac.2023.03.002_bib24","first-page":"1","article-title":"Unintentional non-adherence to chronic prescription medications: how unintentional is it really?","volume":"1","author":"Gadkari","year":"2012","journal-title":"BMC health services research 12"},{"issue":"11","key":"10.1016\/j.eprac.2023.03.002_bib25","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1093\/eurjhf\/hfp142","article-title":"Adherence to medication according to sex and age in the CHARM programme","volume":"11","author":"Granger","year":"2009","journal-title":"Eur J Heart Fail"},{"issue":"2","key":"10.1016\/j.eprac.2023.03.002_bib26","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1089\/dia.2010.0192","article-title":"Fear of hypoglycemia in type 1 diabetes managed by continuous subcutaneous insulin infusion: is it associated with poor glycemic control?","volume":"13","author":"Nixon","year":"2011","journal-title":"Diabetes Technol Therapeut"},{"issue":"3","key":"10.1016\/j.eprac.2023.03.002_bib27","doi-asserted-by":"crossref","first-page":"128","DOI":"10.14445\/22312803\/IJCTT-V48P126","article-title":"Supervised machine learning algorithms: classification and comparison","volume":"48","author":"Osisanwo","year":"2017","journal-title":"Int J Comput Trends Technol"},{"issue":"6","key":"10.1016\/j.eprac.2023.03.002_bib28","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1161\/CIRCULATIONAHA.105.548206","article-title":"Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age","volume":"113","author":"Lloyd-Jones","year":"2006","journal-title":"Circulation"},{"issue":"25 Part B","key":"10.1016\/j.eprac.2023.03.002_bib29","doi-asserted-by":"crossref","first-page":"2935","DOI":"10.1016\/j.jacc.2013.11.005","article-title":"2013 ACC\/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology\/American Heart association task force on practice guidelines","volume":"63","author":"Goff","year":"2014","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12874-020-01046-3","article-title":"Don\u2019t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning","volume":"20","author":"Levy","year":"2020","journal-title":"BMC Med Res Methodol"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib31","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s12551-018-0449-9","article-title":"Machine learning: applications of artificial intelligence to imaging and diagnosis","volume":"11","author":"Nichols","year":"2019","journal-title":"Biophysical reviews"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib32","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"issue":"1","key":"10.1016\/j.eprac.2023.03.002_bib33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12859-018-2264-5","article-title":"Random forest versus logistic regression: a large-scale benchmark experiment","volume":"19","author":"Couronn\u00e9","year":"2018","journal-title":"BMC Bioinf"},{"issue":"3","key":"10.1016\/j.eprac.2023.03.002_bib34","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1093\/aje\/kwu140","article-title":"Correcting for optimistic prediction in small data sets","volume":"180","author":"Smith","year":"2014","journal-title":"Am J Epidemiol"}],"container-title":["Endocrine Practice"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1530891X23000629?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1530891X23000629?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T22:15:12Z","timestamp":1761516912000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1530891X23000629"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":34,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["S1530891X23000629"],"URL":"https:\/\/doi.org\/10.1016\/j.eprac.2023.03.002","relation":{},"ISSN":["1530-891X"],"issn-type":[{"value":"1530-891X","type":"print"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Proof-of-Concept Study of Using Supervised Machine Learning Algorithms to Predict Self-Care and Glycemic Control in Type 1 Diabetes Patients on Insulin Pump Therapy","name":"articletitle","label":"Article Title"},{"value":"Endocrine Practice","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eprac.2023.03.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Published by Elsevier Inc. on behalf of the AACE.","name":"copyright","label":"Copyright"}]}}