Real-time prediction of inpatient length of stay for discharge prioritization
نویسندگان
چکیده
منابع مشابه
Real-time prediction of inpatient length of stay for discharge prioritization
OBJECTIVE Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity management (RTDC) is one such initiative whereby clinicians convene each morning to predict patients able to leave the same day and prioritize their remainin...
متن کاملEmergency department length of stay independently predicts excess inpatient length of stay.
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Data mining approaches have been widely applied in the field of healthcare. At the same time it is recognized that most healthcare datasets are full of missing values. In this paper we apply decision trees, Naive Bayesian classifiers and feature selection methods to a geriatric hospital dataset in order to predict inpatient length of stay, especially for the long stay patients. Index Terms NBI,...
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ساخت الکترودهاِی اصلاح شده ِیکِی از چالشهاِی همِیشگِی در دانش شیمِی بوِیژه شیمِی تجزیه مِی باشد ،که با در نظر گرفتن سادگِی ساخت، کاربردی بودن و ارزان بودن روش مِی توان به باارزش بودن چنِین سنسورهاِی پِی برد.آنچه که در ادامه آورده شده به ساخت و کاربرد الکترودهاِی اصلاح شده با استفاده از نانو ذرات در اندازه گِیرِی ولتامترِی آهن وکادمِیم اشاره دارد. کار اول اختصاص دارد به ساخت الکترود خمِیر کربن اصلاح شده با لِیگاند داِ...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2015
ISSN: 1527-974X,1067-5027
DOI: 10.1093/jamia/ocv106