Readmission of patients is generally caused by inappropriate inpatient care, unexpected
disease deterioration, inadequate health care plans for transition to community care, or …

Patient readmission may be attributed to unsuccessful treatments, new diseases, or
worsening comorbidities, which manifest degraded healthcare quality and increased cost of …

Healthcare costs that can be attributed to unplanned readmissions are staggeringly high
and negatively impact health and wellness of patients. In the United States, hospital systems …

Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …

Nowadays, most of the health expenditure is due to chronic patients who are readmitted
several times for their pathologies. Personalized prevention strategies could be developed …

Objective The ability to predict patient readmission risk is extremely valuable for hospitals,
especially under the Hospital Readmission Reduction Program of the Center for Medicare …

Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …

Heart failure is a devastating disease that has high mortality rates and a negative impact on
quality of life. Heart failure patients often experience emergency readmission after an initial …

The objective of this study was to design and develop a 30-day risk of hospital readmission
predictive model using machine learning techniques. The proposed risk of readmission …

Unplanned hospital readmissions mean a significant burden for health systems. Accurately
estimating the patient's readmission risk could help to optimise the discharge decision …