APPLICATION OF MACHINE LEARNING

Machine Learning centers on applications that gain for a fact and further develop their dynamic or prescient exactness over the long run. Behavioral Modification is the use of basic learning techniques such as conditioning, biofeedback, assertiveness training, positive or negative reinforcement, aversion therapy to change unwanted individual or group behavior. Behavior change is vital to addressing both the challenges facing human health and wellbeing and to promoting the uptake of research findings in health policy and practice. This paper provides a solution about the utilization of machine learning in behavioral modification by giving some real-time examples. The device based on machine learning is used to develop and evaluate a ‘Knowledge System' that automatically extracts, synthesizes, and interprets findings from Brain Computer Interface (BCI) evaluation reports to generate new insights to conduct change and further develop forecast of intervention viability and permits clients to effectively and productively examine the framework to find solutions. Organizations engaged in healthcare are charged with the complex task of keeping expenses down without compromising healthcare quality. The key prerequisite is to focus instead of fix, with the greatest test being the need to follow up on enormous volumes of totaled medical care driven Big Data.