A Predictive Model for Acute Admission in Aged Population

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Acute hospital admission among the elderly population is very common and have a high impact on the health services and the community, as well as on the individuals. Several studies have focused on the possible risk factors, however, predicting who is at risk for acute hospitalization associated with disease and symptoms is still an open research question. In this study, we investigate the use of machine learning algorithms for predicting acute admission in older people based on admission data from individual citizens 70 years and older who were hospitalized in the acute medical unit of Svendborg Hospital in Denmark.

SprogEngelsk
TitelBuilding Continents of Knowledge in Oceans of Data : The Future of Co-Created eHealth
RedaktørerAdrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
ForlagIOS Press
Publikationsdato2018
Sider96-100
ISBN (Trykt)978161499858
ISBN (Elektronisk)9781614998525
DOI
StatusUdgivet - 2018
NavnStudies in Health Technology and Informatics
Vol/bind247
ISSN0926-9630

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