ABSTRACT
IoT has made a diagnosis of abnormality and disease easy with various monitoring technologies. In addition to monitoring and analyzing the patient's health, one can prevent disease by early diagnosis and beginning therapy. It helps to address significant health issues and lightens the doctors’ workload of physical examination. The fuzzy logic and models have delivered satisfactory results in the clinical field by helping medical practitioners improve pre-diagnosis and treatment accuracy. This chapter contains Evolutionary computing algorithm applications in the health care sector in this era. This chapter includes explanations of branches of artificial intelligence with the expanding applications of innovative health technologies, and there is a need for updated and relevant evolutionary computation algorithms to improve health care facilities. How are artificial network neurons highly effective in cardiology? Hospitals have well-equipped ICUs, with this technology for checking all normal parameters and predicting heart health deterioration of patients under intensive care. The healthcare sector has a vital role in assessing the patient's physiological parameters, and IoT application has a huge role in assessing these parameters for better diagnosis. A very novel dietary assessment system that is completely based on AI has been implemented to estimate the calorie and macronutrient content in the meal. Using an AI system to combat an outbreak appears to be the most effective and logical path to take, assuming we can develop one for faster diagnosis and several assessments.
