Applicability of Machine Learning towards development of Patient Centered Decision Support System to Palliative Care Settings

Abstract

Developing systems for assisting in the care of palliative patients requires an understanding of providing relief from distressing symptoms to ease suffering and improve the Quality of Life. To assess the applicability of Artificial Intelligence techniques to Palliative care settings, it is important to understand methods suitable for symptom care and management such that they provide relief from distress due to the life-limiting illness. With rapid advancements in Artificial Intelligence, developing automated healthcare systems for patient care has revolutionized personalized care which is of significance in palliative care settings. This article summarizes the existing literature which suggests the need for improved end-of-life care for a better Quality of Life and the implementation scenarios where AI is integrated in healthcare systems to assist the palliative care team in decision making and thus enhance patient care.