ICU readmission is usually associated with an increased number of hospital death.
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …

Intensive care unit (ICU) readmissions of critically ill patients result in significant increases in
mortality rates and costs, but most readmissions could be avoided. Therefore, the medical …

It is of great interest to develop and introduce new techniques to automatically and efficiently
analyze the enormous amount of data generated in today's hospitals, using state-of-the-art …

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

If a patient can be discharged from an intensive care unit (ICU) is usually decided by the
treating physicians based on their clinical experience. However, nowadays limited …

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

The global healthcare system is being overburdened by an increasing number of COVID-19
patients. Physicians are having difficulty allocating resources and focusing their attention on …

Predicting ICU readmission risk will help physicians make decisions regarding discharge.
We used discharge summaries to predict ICU 30-day readmission risk using text mining and …

Internet of Things (IoT) has enormous capability to revolutionize medical care and enhance
global health indicators in the health sector. The Intensive Care Unit (ICU) is an important …

Compared to patients readmitted to general wards, readmitted patients in the intensive care
unit (ICU) are exposed to higher mortality rates and prolonged hospital stays. Moreover, the …