Status and Direction of Healthcare Data in Korea for Artificial Intelligence.

Author: Yu Rang PARK ¹ ; Soo Yong SHIN
Author Information

1. Department of Biomedical Informatics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Publication Type:Review
Keywords: AI; Machine Learning; Healthcare Data; Smart Data
MeSH: Artificial Intelligence*; Delivery of Health Care*; Korea*; Learning; Machine Learning
From:Hanyang Medical Reviews 2017;37(2):86-92
CountryRepublic of Korea
Language:English
Abstract: Recent rapid advances in artificial intelligence (AI), especially in deep learning methods, have produced meaningful results in many areas. However, to achieve meaningful results for healthcare through AI, it is important to understand the meaning and characteristics of data in that area. For medical AI, a simple approach that accumulates massive amounts of data based on existing big data concepts cannot provide meaningful results in the healthcare field. We need well-curated data as opposed to a simple aggregation of data. The purpose of this study is to present the types and characteristics of healthcare data and future directions for the successful combination of AI and medical care.