{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T22:30:56Z","timestamp":1770157856375,"version":"3.49.0"},"reference-count":14,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2020,12,4]]},"abstract":"<jats:p>Under the influence of the COVID-19, the analysis of physical health data is helpful to grasp the physical condition in time and promote the level of prevention and control of the epidemic. Especially for novel corona virus asymptomatic infections, the initial analysis of physical health data can help to detect the possibility of virus infection to some extent. The digital information system of traditional hospitals and other medical institutions is not perfect. For a large number of health data generated by smart medical technology, there is a lack of an effective storage, management, query and analysis platform. Especially, it lacks the ability of mining valuable information from big data. Aiming at the above problems, the idea of combining Struts 2 and Hadoop in the system architecture of the platform is proposed in this paper. Data mining association algorithm is adopted and improved based on MapReduce. A service platform for college students\u2019 physical health is designed to solve the storage, processing and mining of health big data. The experiment result shows that the system can effectively complete the processing and analysis of the big data of College students\u2019 physical health, which has a certain reference value for college students\u2019 physical health monitoring during the COVID-19 epidemic.<\/jats:p>","DOI":"10.3233\/jifs-189274","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T09:15:40Z","timestamp":1600161340000},"page":"8775-8782","source":"Crossref","is-referenced-by-count":2,"title":["Health data analysis based on multi-calculation of big data during COVID-19 pandemic"],"prefix":"10.1177","volume":"39","author":[{"given":"Yang","family":"Bo","sequence":"first","affiliation":[{"name":"Nanjing Medical University, Nanjing, Jiangsu, China"}]},{"given":"Wang","family":"Chunli","sequence":"additional","affiliation":[{"name":"Nanjing Medical University, Nanjing, Jiangsu, China"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JIFS-189274_ref1","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1007\/s11704-017-6498-6","article-title":"Advanced forecasting of career choices for college students based on campus big data","volume":"12","author":"Nie","year":"2018","journal-title":"Frontiers of Computer Science"},{"key":"10.3233\/JIFS-189274_ref2","first-page":"1","article-title":"Application of a mobile chronic disease health-care system for hypertension based on big data platforms","volume":"1","author":"Dingkun","year":"2018","journal-title":"Journal of Sensors"},{"issue":"5","key":"10.3233\/JIFS-189274_ref3","doi-asserted-by":"crossref","first-page":"2961","DOI":"10.3233\/JIFS-169347","article-title":"Health diagnosis robot based on healthcare big data and fuzzy matching","volume":"33","author":"Huang","year":"2017","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"AUG.","key":"10.3233\/JIFS-189274_ref4","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.cogsys.2019.03.003","article-title":"Analysis and research on mental health of college students based on cognitive computing","volume":"56","author":"Chen","year":"2019","journal-title":"Cognitive Systems Research"},{"issue":"2","key":"10.3233\/JIFS-189274_ref6","first-page":"1","article-title":"Physical health data mining of college students based on DRF algorithm","volume":"102","author":"Xue","year":"2018","journal-title":"Wireless Personal Communications"},{"key":"10.3233\/JIFS-189274_ref7","doi-asserted-by":"crossref","unstructured":"Chen Hung-Ming , Chang Kai-Chuan , Lin and Tsung-His , A cloud-based system framework for performing online viewing, storage, and analysis on big data of massive BIMs. Automation in Construction, 71(pt.1) (2016), 34\u201348.","DOI":"10.1016\/j.autcon.2016.03.002"},{"issue":"8","key":"10.3233\/JIFS-189274_ref8","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.3748\/wjg.v25.i8.1002","article-title":"Big-data analysis: A clinical pathway on endoscopic retrograde cholangiopancreatography for common bile duct stones","volume":"25","author":"Zhang","year":"2019","journal-title":"World Journal of Gastroenterology"},{"issue":"11","key":"10.3233\/JIFS-189274_ref10","doi-asserted-by":"crossref","first-page":"4796","DOI":"10.1007\/s11227-017-2050-6","article-title":"A multi-parameter scheduling method of dynamic workloads for big data calculation in cloud computing","volume":"73","author":"Hanani","year":"2017","journal-title":"Journal of Supercomputing"},{"key":"10.3233\/JIFS-189274_ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2018\/1048756","article-title":"Ensemble prediction algorithm of anomaly monitoring based on big data analysis platform of open-pit mine slope","volume":"2018","author":"Jiang","year":"2018","journal-title":"Complexity"},{"issue":"sp1","key":"10.3233\/JIFS-189274_ref12","doi-asserted-by":"crossref","first-page":"327","DOI":"10.2112\/SI94-067.1","article-title":"Design and implementation of beach sports big data analysis system based on computer technology","volume":"94","author":"Song","year":"2019","journal-title":"Journal of Coastal Research"},{"key":"10.3233\/JIFS-189274_ref13","first-page":"S606","article-title":"Big data analysis for improved mental healthcare: A population-based perspective","volume":"33","author":"Tarazon","year":"2016","journal-title":"European Psychiatry"},{"issue":"4","key":"10.3233\/JIFS-189274_ref14","doi-asserted-by":"crossref","first-page":"577","DOI":"10.15837\/ijccc.2017.4.2914","article-title":"High-speed train control system big data analysis based on the fuzzy RDF model and uncertain reasoning","volume":"12","author":"Zhang","year":"2017","journal-title":"International Journal of Computers Communications & Control"},{"issue":"4","key":"10.3233\/JIFS-189274_ref15","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MNET.2014.6863132","article-title":"CAP: community activity prediction based on big data analysis","volume":"28","author":"Zhang","year":"2014","journal-title":"IEEE Network"},{"issue":"9","key":"10.3233\/JIFS-189274_ref16","doi-asserted-by":"crossref","first-page":"1610","DOI":"10.1002\/dac.2779","article-title":"A nodes scheduling model based on Markov chain prediction for big streaming data analysis","volume":"28","author":"Zhang","year":"2015","journal-title":"International Journal of Communication Systems"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-189274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T09:26:03Z","timestamp":1770110763000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-189274"}},"subtitle":[],"editor":[{"given":"Xiaolong","family":"Li","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,12,4]]},"references-count":14,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.3233\/jifs-189274","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,4]]}}}