{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T23:51:21Z","timestamp":1773445881546,"version":"3.50.1"},"reference-count":19,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>Arteriovenous fistula (AVF) is an important vascular access for hemodialysis (HD) treatment but has 20\u201360% rate of early failure. Detecting association between patient's parameters and early AVF failure is important for reducing its prevalence and relevant costs. Also predicting incidence of this complication in new patients is a beneficial controlling procedure. Patient safety and preservation of early AVF failure is the ultimate goal. Our research society is Hasheminejad Kidney Center (HKC) of Tehran, which is one of Iran's largest renal hospitals. We analyzed data of 193 HD patients using supervised techniques of data mining approach. There were 137 male (70.98%) and 56 female (29.02%) patients introduced into this study. The average of age for all the patients was 53.87 \u00b1 17.47 years. Twenty eight patients had smoked and the number of diabetic patients and nondiabetics was 87 and 106, respectively. A significant relationship was found between \u201cdiabetes mellitus,\u201d \u201csmoking,\u201d and \u201chypertension\u201d with early AVF failure in this study. We have found that these mentioned risk factors have important roles in outcome of vascular surgery, versus other parameters such as \u201cage.\u201d Then we predicted this complication in future AVF surgeries and evaluated our designed prediction methods with accuracy rates of 61.66%\u201375.13%.<\/jats:p>","DOI":"10.1155\/2013\/830745","type":"journal-article","created":{"date-parts":[[2013,6,4]],"date-time":"2013-06-04T17:02:52Z","timestamp":1370365372000},"page":"1-8","source":"Crossref","is-referenced-by-count":27,"title":["Implementation of Predictive Data Mining Techniques for Identifying Risk Factors of Early AVF Failure in Hemodialysis Patients"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7255-0261","authenticated-orcid":true,"given":"Mohammad","family":"Rezapour","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Tarbiat Modares University, Tehran 14117-13114, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Morteza","family":"Khavanin Zadeh","sequence":"additional","affiliation":[{"name":"Hasheminejad Clinical Research Development Center (HCRDC) and Rasoul Akram Hospital, Tehran University of Medical Sciences (TUMS), Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Mehdi","family":"Sepehri","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Tarbiat Modares University, Tehran 14117-13114, Iran"},{"name":"Hospital Management Research Center, Iran University of Medical Sciences, Tehran 19697-14713, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"8","key":"1","first-page":"37","volume":"3","year":"2006","journal-title":"Annals of Iranian Medicine"},{"issue":"2","key":"2","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1007\/s11560-010-0452-z","volume":"6","year":"2011","journal-title":"US Nephrology"},{"key":"4","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1177\/112972980901000440","volume":"10","year":"2009","journal-title":"Journal of Vascular Access"},{"key":"5","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1046\/j.1523-1755.2003.00210.x","volume":"64","year":"2003","journal-title":"Kidney International"},{"issue":"3","key":"6","first-page":"37","volume":"17","year":"1996","journal-title":"AI Magazine"},{"issue":"2","key":"7","first-page":"64","volume":"19","year":"2005","journal-title":"Journal of Healthcare Information Management"},{"issue":"10","key":"8","first-page":"12","volume":"20","year":"1999","journal-title":"Health Management Technology"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2004.07.010"},{"key":"11","volume-title":"Identifying patients at risk: mining dialysis treatment data","year":"2009"},{"issue":"4","key":"12","first-page":"829","volume":"24","year":"2011","journal-title":"Gazi University Journal of Science"},{"key":"13","year":"2010"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1111\/j.1547-5069.2010.01353.x"},{"key":"16","year":"2008"},{"issue":"1","key":"18","first-page":"11","volume":"2","year":"2008","journal-title":"Iranian Journal of Kidney Diseases"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfn261"},{"key":"22","year":"2011"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/746315"},{"key":"24","year":"1993"},{"key":"27","year":"2008"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/830745.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/830745.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/830745.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,14]],"date-time":"2019-07-14T13:46:18Z","timestamp":1563111978000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2013\/830745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":19,"alternative-id":["830745","830745"],"URL":"https:\/\/doi.org\/10.1155\/2013\/830745","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}