ML-Driven Health Prediction Framework For Early Diagnosis And Patient Support

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Authors: Dr. Mrunal Pathak

 

 

Abstract: – The Predictive Smart Healthcare System, leveraging machine learning for early detection, individualized treatment plans, and efficient healthcare delivery by utilizing machine learning for early detection. The system evaluates patient data to anticipate health problems using algorithms like SVM and Random Forest, enabling rapid detection and individualized treatment. By automating processes like symptom analysis, appointment scheduling, and data interpretation, it reduces the workload of healthcare professionals. Using CNN and NLP, the Medical Chatbot offers immediate medical advice, improving patient engagement. The Appointment Booking module ensures effective communication by streamlining procedures using SMTP email confirmations. Intelligent, patient-centred healthcare has advanced significantly with the combination of automation and machine learning.

DOI: http://doi.org/

 

 

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