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Hanyang Medical Reviews ; : 86-92, 2017.
Article in English | WPRIM | ID: wpr-80743

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.


Subject(s)
Artificial Intelligence , Delivery of Health Care , Korea , Learning , Machine Learning
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