{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:36:06Z","timestamp":1781109366533,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:p>This paper presents a heart disease prediction model. Among the recent technology, internet of things-enabled healthcare plays a vital role. The medical sensors used in healthcare provide a huge volume of medical data in a continuous manner. The speed of data generation in IoT healthcare is high so the volume of data is also high. In order to overcome this problem, the proposed model is a novel three-step process to store and analyze the large volumes of data. The first step focuses on a collection of data from sensor devices. In Step 2, HBase has been used to store the large volume of medical sensor data from a wearable device to the cloud. Step 3 uses Mahout for devolving logistic regression-based prediction model. At last, ROC curve is used to find the parameters that cause heart disease.<\/jats:p>","DOI":"10.4018\/ijghpc.2021040107","type":"journal-article","created":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T10:07:48Z","timestamp":1614593268000},"page":"118-130","source":"Crossref","is-referenced-by-count":9,"title":["Remote Health Patient Monitoring System for Early Detection of Heart Disease"],"prefix":"10.4018","volume":"13","author":[{"given":"Gokulnath Chandra","family":"Babu","sequence":"first","affiliation":[{"name":"Vellore Institute of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Shantharajah S. P.","sequence":"additional","affiliation":[{"name":"Vellore Institute of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Grid and High Performance Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=273657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T06:01:36Z","timestamp":1651816896000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJGHPC.2021040107"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":0,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijghpc.2021040107","relation":{},"ISSN":["1938-0259","1938-0267"],"issn-type":[{"value":"1938-0259","type":"print"},{"value":"1938-0267","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}