The Medisen: Disease Prediction Website is a unique and intelligent health care solution that has been created to enhance the accessibility and availability of health care services by predicting possible diseases based on the symptoms provided by the user. The rapid growth in technology and the demand for digital health care solutions have led to the creation of this health care solution, which promises to provide a quick, dependable, and easily accessible solution for the identification of diseases. The solution has employed advanced machine learning algorithms like K-Nearest Neighbors (KNN), Decision Tree, and Random Forest to analyze the symptoms provided by the user and compare them with a comprehensive list of diseases in its database. The primary aim of the Medisen platform is to help users determine possible diseases in their early stages without the need for immediate in-person consultations. This is especially important for minor symptoms, which, though they may cause concern, do not necessarily require immediate medical attention. This helps users make informed decisions about whether they should seek immediate professional medical help. This not only saves time and resources but also helps in the early awareness of one’s health and how to manage it. Aside from the prediction of diseases, the platform has an integrated feature that allows users to connect with specialized doctors who deal with the disease in question. This bridges the gap from the prediction of diseases to receiving proper medical treatment from professionals. This helps users receive proper guidance on how to proceed with their healthcare. The platform recommends specialists who can help users receive proper diagnosis and treatment for their diseases. In order for the prediction model to be effective, a comparative analysis was done on various machine learning algorithms. The results show that the accuracy and precision of the model are higher when using the Random Forest algorithm compared to using the KNN and Decision Tree algorithms. Therefore, the Random Forest algorithm was chosen for use in the system for disease prediction. The Medisen platform is created in a way that is simple and user-friendly for people to use, even for those who do not have a lot of knowledge in technology. All a user needs to do is enter their symptoms, and then the system can process the data and give possible predictions for diseases. Not only can this platform be useful for regular people, but it can also be useful for medical professionals. In conclusion, the Medisen Disease Prediction Website is an essential tool in the development of advanced digital healthcare services. This is particularly because it enables early disease detection, facilitates the accessibility of healthcare services, and reduces the load on healthcare institutions. By incorporating artificial intelligence with healthcare services, the system enables quicker decision-making and encourages individuals to adopt preventive measures for maintaining their health. Therefore, this website presents the possibility of artificial intelligence in the development of advanced healthcare systems.
Symptom-Based Diagnosis, Machine Learning in Healthcare, Random Forest Algorithm, K-Nearest Neighbors (KNN), Decision Tree, Medical Decision Support System, Early Disease Detection, Healthcare Accessibility, Expert Doctor Recommendation, User-Friendly Healthcare Platform, Preventive Healthcare, Digital Health.
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