| Abstrakt: |
Machine Learning (ML) / Deep Learning (DL) has been applied in the development of the healthcare domain in recent years due to its increased potential and performance. It provides better support to clinicians and patients in various aspects, such as automating medical billing, clinical decision support, disease diagnosis, etc. It also plays a vital role in pattern recognition, online recommendation, finance, robotics, information security, etc. It can learn and realize the pattern from the healthcare records and gives better predictions about the disease. The goal of this review paper is to provide an overview of: (i) Machine Learning concepts; (ii) Machine Learning applications, techniques and its purpose in the healthcare domain; (iii) challenges and issues in maintaining health records; and (iv) finally, it helps to minimize the research gap with best decision support system using Machine Learning. [ABSTRACT FROM AUTHOR] |
