AI-based Multi Disease Detection using Machine Learning

Vishal Vilas Pujari, Varun Bhagwan Waghole and B. M. Borhade

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 6, 257-262

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.

Keywords: Artificial Intelligence (AI); Machine Learning (ML); Multi-Disease Detection; Deep Learning; Healthcare Ana- lytics; Medical Imaging; Convolutional Neural Networks (CNN); Hybrid Models (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i6:id:1282

DOI: 10.32628/IJSRST25126324

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