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AI-based Multi Disease Detection using Machine Learning

Author

Listed:
  • Vishal Vilas Pujari
  • Varun Bhagwan Waghole
  • B. M. Borhade

Abstract

AI-based multi-disease detection uses machine learning (ML) to analyze various patient data, such as medical images, lab results, and clinical history, to simultaneously identify multiple diseases. ML algorithms, including Convolutional Neural Networks (CNNs) for image analysis and algorithms like Support Vector Machines (SVM) and Random Forests for tabular data, detect patterns to aid in early diagnosis for diseases like cancer, diabetes, and heart disease.

Suggested Citation

  • Vishal Vilas Pujari & Varun Bhagwan Waghole & B. M. Borhade, 2025. "AI-based Multi Disease Detection using Machine Learning," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(6), pages 257-262, December.
    • Handle: RePEc:etm:ijsrst:v12:y2025:i6:id:1282
    DOI: 10.32628/IJSRST25126324
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