Barbara H. Hanusa

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This paper describes the application of eight statistical and machine-learning methods to derive computer models for predicting mortality of hospital patients with pneumonia from their findings at initial presentation. The eight models were each constructed based on 9847 patient cases and they were each evaluated on 4352 additional cases. The primary(More)
BACKGROUND A Night Float (NF) system has been implemented by many institutions to address increasing concerns about residents' work hours. The purpose of our study was to examine the perceptions of residents towards a NF system. METHODS A 115-item questionnaire was developed to assess residents' perceptions of the NF rotation as compared with a regular(More)
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