A survey on artificial intelligence techniques for chronic diseases: open issues and challenges

• DOI: 10.1007/s10462-021-10084-2
• Publication Date: 2021-11-30T18:06:53Z
• Authors: Keyur Patel; Chinmay Mistry; Dev Mehta; Urvish Thakker; Sudeep Tanwar; Rajesh Gupta; Neeraj Kumar
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 3. Good health

Artificial Intelligence (AI) has given significant solutions to the healthcare domain for analyzing various chronic diseases. With the advent of high-end systems, i.e., Graphics Processing Units, AI widespread the healthcare domain, where human experts dominate. AI techniques make the early identification and diagnosis of diseases, which aid the clinicians in mitigating the associated risk. This survey comprehensively reviews the existing literature on AI-assisted chronic disease prediction by considering cancer, heart, and brain-related diseases. However, research is underway to design and develop efficient AI techniques to aid the early prediction of diseases and render valuable insights into the patient’s profile. We conclude with the open issues and challenges faced by the current AI techniques for the prediction and early detection of chronic diseases and discuss future work in the diagnosis of these diseases.