Abstract:Avoidable and unplanned readmissions to hospital wards, especially the Intensive Care Unit, have significant implications for the patients’ health and poses additional economic burdens on the health system. If patients who are at risk of readmission are identified early and their risks are mitigated, these complications can be avoided.
Machine Learning has been a valuable tool for automatic identification and prediction of various health conditions and situations, including unplanned readmissions. This is made… Show more
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