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To accomplish high classification or prediction accuracy, the screening of health status needs to be personalized rather than following general clinical practice guidelines (CPG) which fits for an average population. Hence, a personalized screening model (IPAD \u2013 Intelligent Personalized Abnormality Detection) for remote healthcare is proposed that tailored to specific individual. The severity level of the abnormal status has been derived using personalized health values and the IPAD model obtains an area under the curve (AUC) of 0.907.<\/jats:p>","DOI":"10.4018\/ijiit.2020040105","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T07:51:15Z","timestamp":1582876275000},"page":"87-109","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent Personalized Abnormality Detection for Remote Health Monitoring"],"prefix":"10.4018","volume":"16","author":[{"given":"Poorani","family":"Marimuthu","sequence":"first","affiliation":[{"name":"Madras Institute of Technology, Anna University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Varalakshmi","family":"Perumal","sequence":"additional","affiliation":[{"name":"Madras Institute of Technology, Anna University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vaidehi","family":"Vijayakumar","sequence":"additional","affiliation":[{"name":"Vellore Institute of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJIIT.2020040105-0","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2013.2262913"},{"key":"IJIIT.2020040105-1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2589160"},{"key":"IJIIT.2020040105-2","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2554118"},{"key":"IJIIT.2020040105-3","doi-asserted-by":"crossref","unstructured":"Brookhart, M. 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