Machine Learning for Smart Healthcare Industry: A Succinct Review

The term “healthcare” refers to the process of preserving one's health through the diagnosis, treatment, and prevention of illness, most notably using medical professionals such as physicians, dentists, and psychologists. Machine learning (ML) plays a vital part in many health-related disciplines these days, including the creation of new medical procedures, the management of patient records and data connected to the treatment of chronic diseases, and many others. In the years to come, ML will revolutionize the delivery of healthcare services. Nevertheless, a high-quality decision support system (DSS) will be necessary to meet the challenges that patients and clinicians confront in the diagnostic process. This work describes how ML is becoming increasingly capable of offering novel approaches to the identification of diseases, the diagnosis of conditions, the monitoring of health epidemics, and the development of more effective treatment regimens. Discussion on several algorithms that are utilized in this sector is done, in addition to the steps that are necessary to deliver a solution for healthcare using ML. In conclusion, some benefits and problems of the future that could completely change healthcare shortly are brought up.