Data Analytics to Forecast Brain Cancer Risk and Suitable Digital Solutions in India

Abstract

Brain tumours are among the worst human malignancies. Accurate and dependable segmentation of brain tumours using MRI images aids in treatment planning and extends patients' life spans. To implement the treatment regimen, the tumor present in these slices must be accurately identified. The tumor resembles the various brain tissues that are present. This makes finding brain problems exceedingly difficult. Despite the rising incidence of brain tumors in developing nations like India, few population-based statistics are available. This study looks at the digital tools and IT infrastructure that is available for the early detection of brain tumors. The study examines the connection between the tumor/stroke and India's current infrastructure and facilities for brain tumor identification and treatment. A detailed study of risks and trends associated with a brain tumor in India is given. Using AI approaches, the infrastructural requirements, and budget for enhancing the facilities for digital health facilities for brain tumor treatments are proposed. The study examines the impact of cancer in India, and brain tumor in males and females including children in India. We have examined the burden of cancer in India. All the data comprised from the year 2004 to the year 2022. Yearly registrations of brain tumor cases in hospitals and therapy costs have also been studied and examined in this paper. Shortages of machines in various states and the initiative and funding of the government are also studied. The different machine learning algorithms used for Brain MRI segmentation have been compared. The precise specifications and characteristics of the segmentation challenge will determine the most effective strategy for brain MRI segmentation. To choose the best strategy for a particular application, it is frequently beneficial to compare and assess the performance of various strategies using the right evaluation metrics and validation procedures.