{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T11:52:28Z","timestamp":1649159548373},"reference-count":0,"publisher":"NeuroQuantology Journal","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["WEB"],"published-print":{"date-parts":[[2021,12,23]]},"abstract":"<jats:p>The Internet of Things (IoT) relates to the process of utilizing computer networks to plan and model Internet-connected things. The Internet of Things (IoT)-based m-healthcare technologies have provided multi-dimensional functionality and real-time resources over the last few years. These apps provide millions of individuals with a forum to get wellness alerts for a healthy lifestyle constantly. Several aspects of these systems have been revitalized with the introduction of IoT devices in the healthcare sector. This work proposed a data-driven disease signal analytics by inventing a novel combination learning approach. The proposed Combination learning integrates different machine learning models to price disease signal for different options by leveraging the availability of a large amount of data through solving a sequential quadratic programming problem. The proposed approach demonstrates its superiority in prediction accuracy and strong model independence by overcoming traditional model-driven approaches' generalization issue. The findings illustrate the efficacy of the task for an effective disease signal diagnosis. It could be a modern and useful health approach to adopt the proposed procedure with potential changes and incorporate it into a low-cost unit.<\/jats:p>","DOI":"10.14704\/web\/v18i2\/web18368","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T05:30:00Z","timestamp":1640323800000},"page":"982-998","source":"Crossref","is-referenced-by-count":0,"title":["Toward a Cloud based Disease Diagnosis System Using Sequential Quadratic Programming Approach"],"prefix":"10.14704","volume":"18","author":[{"given":"Ali Hussein Shamman","family":"Al-Safi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zaid Ibrahim Rasool","family":"Hani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed A","family":"Hadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Musaddak M. Abdul","family":"Zahra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wael Jabbar Abed","family":"Al-Nidawi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"5737","published-online":{"date-parts":[[2021,12,23]]},"container-title":["Webology"],"original-title":[],"deposited":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T05:30:16Z","timestamp":1640323816000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.webology.org\/abstract.php?id=734"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,23]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,12,23]]},"published-print":{"date-parts":[[2021,12,23]]}},"URL":"https:\/\/doi.org\/10.14704\/web\/v18i2\/web18368","relation":{},"ISSN":["1735-188X","1735-188X"],"issn-type":[{"value":"1735-188X","type":"print"},{"value":"1735-188X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,23]]}}}