Classification of Brain Disorder Diseases Using Machine Learning Based Data Mining Techniques

Brain disorders include a wide range of illnesses, including mental illnesses and neurological disorders, for which an early and precise diagnosis is essential to successful treatment. This review aims to give an in-depth analysis of current developments and problems in this important field by examining the evolution of machine learning (ML) with respect to data mining usage in the categorization of brain illnesses. The study starts by clarifying the need of prompt and accurate diagnosis in brain illnesses, highlighting the possibility of utilizing machine learning and data mining tools to supplement conventional diagnostic approaches. A thorough analysis of the literature demonstrates the wide range of approaches used for classifying brain disorders, from sophisticated deep computational systems to traditional machine learning methods. The exploration clarifies the complexities of model construction by covering important topics including feature selection, dataset qualities, and assessment measures. Numerous research show how well machine learning approaches may be used to differentiate between various brain illnesses, showing encouraging outcomes in regard to specificity, sensitivity, and accuracy. The report also outlines the difficulties those working in this subject encounter, such as the requirement for vast and diverse datasets, accessibility, and variety of data. Potential alternatives are also covered, including the creation of model-based interpretation for improved practicality and the synthesis of multimodal information. This study is an invaluable tool for scholars, employees, and health care providers working at the nexus of data mining, machine learning, and brain illness categorization. Through a comprehensive analysis of the present status of the sector and the identification of potential areas for advancement, this study adds to the continuing efforts to use technologies in the identification and therapy of brain illnesses.