International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Healthcare System Using Machine Learning for Predictive Diagnosis and Treatment Planning

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.

Country : India

1 B. Rupadevi2 Madduru Gopikrishna

  1. Associate Professor, Dept. of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AP, India
  2. Post Graduate, Dept. of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AP, India

IRJIET, Volume 9, Special Issue of ICCIS-2025 May 2025 pp. 92-97

doi.org/10.47001/IRJIET/2025.ICCIS-202514

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