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Public hospitals are often plagued by patients with unexpected acute alcohol withdrawals because of failure of diagnosis at the time of their presentation. To address these problems, this study will develop models to predict the risk of alcohol withdrawal and recommend corresponding management processes to optimize patient safety using health data analytics.doi:10.3233/shti190631 pmid:31438327 fatcat:v7tphzd275bf5mbxjlhcexs3ny