Today, the existence of a vast amount of electronic health data has created potential
capacities for conducting studies aiming to improve the medical services provided to …

With the aid of statistical learning tools nowadays, a variety of clinical prediction tasks can be
examined and modeled in a quantitative way. Predicting hospital readmission probability is …

This study developed readmission prediction models using Home Healthcare (HHC)
documents via natural language processing (NLP). An electronic health record of Ajou …

Hospital readmission is an important quality-of-care indicator that reflects challenges in
quality of in-patient care and the difficulty of coordination of care after the transition back into …

Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to
different factors. The identification of those factors can help determine which patients are at …

Hospital readmissions consume large amounts of medical resources and negatively impact
the healthcare system. Predicting the readmission rate early one can alleviate the financial …

Predicting the probability of hospital readmission is one of the most vital issues and is
considered to be an important research area in the healthcare sector. For curing any of the …

A necessary document that encompasses clinical and administrative information
indispensable for the continuity of care subsequent to the patients being discharged as of …

The hospital readmission prediction becomes a significant task for healthcare systems and
patients. Many predictive models have been developed and make progress in this task …

AimsPsychiatric readmissions cause a burden on the healthcare system, incur a monetary
cost and cause additional distress to acutely unwell patients. This project explores the use of …