Neuro Care: AI-Driven Early Diagnosis and Prevention of Neurological Disorders

Abstract

The proposed project, NeuroCare, is designed in such a way that it will utilize the concept of Machine Learning to identify Alzheimer’s Disease and predict Brain Stroke and at the same time offers a single platform where a person can seek medical assistance virtually, create lifestyle plans, and exercise plans to prevent, diagnose and manage the advancement of the brain disease and also reduce the medical expenses by a significant margin. The existing diagnostic and monitoring techniques are extremely physical and invasive meaning they are inconvenient and not readily available. The absence of cost-effective and easy to use diagnostic aids impedes prompt and correct assessment. NeuroCare is designed to address the issue with the expensive and unreachable solutions that do not allow for identifying Alzheimer’s Disease (AD) and Brain Stroke Prediction in time. The project also aims at dealing with the issues that are associated with the unavailability of clinics providing neurologists within certain regions. It will act as a point of cheap identification of Alzheimer’s disease and Brain Stroke forecasting, customized lifestyle programs, virtual doctor-patient conferences, preventive strategies, and simplified administrative frameworks. The major objectives of the suggested NeuroCare project include revamping healthcare through offering low-priced detection systems of Alzheimer’s disease, in addition to precise detection of Brain Stroke. Also, the project will educate people to have individualized lifestyle programs and online doctor visits, which will enable them to take preemptive and preventive healthcare. By doing so, NeuroCare will be able to make mental healthcare more accessible, efficient, and patient-centered. The main advantages of the proposed NeuroCare project are ease of conducting virtual consultations, geographical barriers, waiting time, and costs, and timely access to neurologists by people with neurological disorders.