Predictive Models for Palliative Care Needs of Advanced Cancer Patients Receiving Chemotherapy

Perspectives on Artificial Intelligence in Nursing in Asia

“…Additionally, recent studies in South Korea used machine learning–based analytical methods and natural language processing to accurately predict adverse drug reactions [ 17 ], pressure injury staging [ 18 ], and improve hospital data management capabilities [ 19 ]. Japan’s focus on advanced health care analytics is evident through the works of Nakatani et al [ 20 ] and Kawashima et al [ 21 ], which leveraged natural language processing and machine learning to predict hospital inpatient falls (area under the receiver operating characteristic curve of 0.834) and needs of cancer patients in palliative care, respectively. A study in China used machine learning–based analytical methods for the early detection of delirium in children with critical illnesses [ 22 ].…”