Predicting Discharge Rate of After-care patient using Hierarchy Analysis
نویسندگان
چکیده
منابع مشابه
CRITICAL CARE Predicting death and readmission after intensive care discharge
Results. Four hundred and seventy-five patients (11.2%) died in hospital after discharge from the ICU. Increasing age, time in hospital before intensive care admission, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and discharge Therapeutic Intervention Scoring System (TISS) score were independent risk factors for death after intensive care discharge. Three hundred and ei...
متن کاملPredicting death and readmission after intensive care discharge.
BACKGROUND Despite initial recovery from critical illness, many patients deteriorate after discharge from the intensive care unit (ICU). We examined prospectively collected data in an attempt to identify patients at risk of readmission or death after intensive care discharge. METHODS This was a secondary analysis of clinical audit data from patients discharged alive from a mixed medical and s...
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One of the most important issues for governments to maintain and improve their position in the regional and global economy is the state of economic growth; one of the important issues in this situation is to predict the rate of economic growth. Proper forecasting of economic growth has very important effects on government policy and economic planning, and can help policymakers decide on future ...
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UNLABELLED An important and often forgotten aspect of postoperative care occurs after the patient is discharged from the ambulatory surgical center. With more than 60% of all surgeries and procedures occurring on an ambulatory basis, what happens after the patient is no longer in continuous professional care is of concern to the ambulatory nurse. Numerous physical postoperative complaints are c...
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Several models have been developed to predict stroke outcomes (e.g., stroke mortality, patient dependence, etc.) in recent decades. However, there is little discussion regarding the problem of between-class imbalance in stroke datasets, which leads to prediction bias and decreased performance. In this paper, we demonstrate the use of the Synthetic Minority Over-sampling Technique to overcome su...
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ژورنال
عنوان ژورنال: The International Journal of Advanced Culture Technology
سال: 2016
ISSN: 2288-7202
DOI: 10.17703/ijact.2016.4.2.38