{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:21:35Z","timestamp":1740201695170,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were further analyzed by using k-means clustering with age, long-term blood sugar and cholesterol values. The association analysis led to a multitude of trivial rules. Cluster analysis detected clusters of well and badly managed diabetes patients both belonging to different age groups. The study suggests the usage of cluster analysis on a restricted space to come to meaningful results.<\/jats:p>","DOI":"10.3233\/978-1-61499-564-7-1072","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:25:19Z","timestamp":1740126319000},"source":"Crossref","is-referenced-by-count":0,"title":["Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database"],"prefix":"10.3233","author":[{"family":"Nienhoff Hendrik","sequence":"additional","affiliation":[]},{"family":"Huebner Ursula","sequence":"additional","affiliation":[]},{"family":"Frey Andreas","sequence":"additional","affiliation":[]},{"family":"Przysucha Mareike","sequence":"additional","affiliation":[]},{"family":"Kimura Michio","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2015: eHealth-enabled Health"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:26:28Z","timestamp":1740126388000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-563-0&spage=1072&doi=10.3233\/978-1-61499-564-7-1072"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-564-7-1072","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2015]]}}}