Background Advances in machine learning (ML) provide great opportunities in the
prediction of hospital readmission. This review synthesizes the literature on ML methods and …

Hospital readmission is one of the challenges that force an extra pressure and financial
burden on healthcare and causes a significant waste of medical resources. However, some …

Wrong dose, a common prescription error, can cause serious patient harm, especially in the
case of high-risk drugs like oral corticosteroids. This study aims to build a machine learning …

Objective Despite extensive efforts, overall readmission rates at US children's hospitals have
not materially declined over the past decade, raising questions about how to direct future …

Data science continues to be recognized and used within healthcare due to the increased
availability of large data sets and advanced analytics. It can be challenging for nurse leaders …

A hospital readmission can occur due to insufficient treatment or the emergence of an
underlying disease that was not apparent at the initial hospital stay. The unplanned …

要旨 人工知能はこれまでに 2 度のブームを経て, 今また 3 度目のブームを迎えていると言われる.
様々な産業, 業態で導入が検討され, 実用化されているものもある. 小児領域における人工知能と …