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Machine Learning-Based Intelligent Healthcare System for Accurate Disease Prediction and Treatment Recommendation

 

 

Authors:

1. RUPADEVI¹, MADDURU GOPIKRISHNA²

¹Associate Professor, Dept of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AP, India, Email:rupadevi.aitt@annamacharyagroup.org

²Post Graduate, Dept of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AP, India, Email: madhurugopikrishna@gmail.com

 

 

ABSTRACT

Early disease identification is crucial for prompt treatment and improved patient outcomes in the modern healthcare system. This study presents a machine learning-based disease prediction and medical recommendation system that analyses symptoms and offers precise health insights. A well-structured dataset comprising disease categories, suggested therapies, and symptom severity forms the foundation of the system. It provides individualized nutritional and medical advice by using a classification-based predictive model to analyse symptom patterns and propose potential diagnoses. We have created a web-based interface to make the system easier to use, enabling users to enter their symptoms and get immediate medical advice.  This method allows users to conduct a preliminary self-evaluation prior to requesting expert assistance, thereby bridging the gap between patients and medical advice.  This technology provides rapid and accurate health insights, making it an invaluable resource for well-informed healthcare decision-making.

Keywords- Disease Prediction System, Machine Learning in Healthcare, Random Forest Classifier, Flask Web Application, Symptom-Based Diagnosis, Medical Recommendations

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