Machine Learning-Based Healthcare Guidance System

Hospitals are increasingly utilizing online recommender systems to assist in the medical treatment of patients. Nowadays, many people research potential prescriptions online before consulting their doctors for various medical issues. Medical recommendation systems can be beneficial, especially during pandemics or natural disasters when resources are limited. These systems provide more precise, dependable, and accurate clinical predictions using fewer resources. The patient receives trustworthy information from the medication recommendation system regarding the medication, dose, and potential side effects. The system considers the patient's symptoms when selecting the appropriate medication, which is then delivered based on the user profile. The system employs K-means clustering algorithms to analyze patient data to provide personalized medical recommendations. These algorithms use patient demographics, medical histories, and symptoms gathered from a vast dataset of medical records to produce precise suggestions. By providing fast, accurate recommendations tailored to each person's specific needs, this system aims to enhance patient outcomes