Which Models Can I Use to Predict Adult ICU Length of Stay? A Systematic Review*
نویسندگان
چکیده
منابع مشابه
Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
BACKGROUND Intensive care unit (ICU) care is associated with costly and often scarce resources. In many parts of the world, ICUs are being perceived as major bottlenecks limiting downstream services such as operating theatres. There are many clinical, surgical and contextual factors that influence length of stay. Knowing these factors can facilitate resource planning. However, the extent at whi...
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OBJECTIVE In the UK, 1 in 10 babies require specialist neonatal care. This care can last from hours to months depending on the need of the baby. The increasing survival of very preterm babies has increased neonatal care resource use. Evidence from multiple studies is crucial to identify factors which may be important for predicting length of stay (LOS). The ability to predict LOS is vital for r...
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BACKGROUND As well as being a risk factor for cardiovascular disease, hypertension is also a health condition in its own right. Risk prediction models may be of value in identifying those individuals at risk of developing hypertension who are likely to benefit most from interventions. METHODS AND FINDINGS To synthesize existing evidence on the performance of these models, we searched MEDLINE ...
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BACKGROUND There is little evidence on the accuracy of psychosis relapse prediction models. Our objective was to undertake a systematic review of relapse prediction models in psychosis. METHOD We conducted a literature search including studies that developed and/or validated psychosis relapse prediction models, with or without external model validation. Models had to target people with psycho...
متن کاملUse of Data Mining Techniques to Determine and Predict Length of Stay of Cardiac Patients
OBJECTIVES Predicting the length of stay (LOS) of patients in a hospital is important in providing them with better services and higher satisfaction, as well as helping the hospital management plan and managing hospital resources as meticulously as possible. We propose applying data mining techniques to extract useful knowledge and draw an accurate model to predict the LOS of heart patients. ...
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ژورنال
عنوان ژورنال: Critical Care Medicine
سال: 2017
ISSN: 0090-3493
DOI: 10.1097/ccm.0000000000002054