Year: 2025
Type: article
Abstract: Health Harbour is a machine-learning-based system designed to assist users in identifying possible health conditions and finding suitable medications. By analyzing symptoms entered by the user, it simplifies the process of symptom-based diagnosis and provides helpful health insights. Built using Python and Scikit-Learn, the model is trained on a dataset of 187 symptoms and achieves an impressive accuracy of 99.6%. Users can input four key symptoms, and the system will predict potential illnesses while suggesting appropriate medications. Additionally, it offers diet recommendations, necessary precautions, and workout plans to promote overall well-being. With an easy-to-use interface powered by Stream-Lit, Health Harbour ensures a smooth and interactive experience. By making healthcare guidance more accessible, this system helps users take proactive steps toward better health and informed decision-making.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407262344