Researchers and healthcare professionals have paid attention to artificial intelligence (AI) in the healthcare industry. The application of effective and efficient AI techniques can help to increase the precision of medical decision. AI offers great advances for countries currently struggling with complex healthcare systems and a physician shortage. In previous research in the field of health management, big data analytics in healthcare has been a significant subject from multidisciplinary aspects. To detect the onset of disease in the large-scale data, examining image and video sources and social media data is required. The literature represents various AI applications for healthcare services as well as an unexplored area of medical research emphasizes medical decision-making, patient diagnostics data, and network of health services. This study presents an innovative datadriven approach with knowledge-based analysis utilizing AI techniques. The proposed method develops a comprehensive approach including machine learning methods and its application to healthcare big data analysis. The significance of identifying and covering the key AI applications for healthcare is suggested. The result highlights that organization may greatly benefit from the use of this technology in healthcare operations with AI-based solutions to provide different treatment options and personalized therapies. With the applications of AI techniques, the general effectiveness of hospitals and healthcare systems may be increased, and overall healthcare costs may be reduced.
저자
Donghyeok Choi [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Sangjin Kim [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Jai Woo Lee [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
