Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database

Abstract

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… (More)
DOI: 10.3233/978-1-61499-564-7-1072

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Cite this paper

@article{Nienhoff2015RestrictedVU, title={Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database}, author={Hendrik Nienhoff and Ursula H{\"{u}bner and Andreas Frey and Mareike Przysucha and Michio Kimura}, journal={Studies in health technology and informatics}, year={2015}, volume={216}, pages={1072} }