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Volume 7 Issue 6
June 2026
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Skin Disease Prediction with Cost Estimation
| Author(s) | Praveena, Dr. R. Vani |
|---|---|
| Country | India |
| Abstract | Skin diseases are widespread health concerns that often require early detection to prevent complications and reduce treatment expenses. This project presents a skin disease prediction system with cost estimation designed to assist in preliminary screening and healthcare awareness. The proposed approach employs a hybrid deep learning model that integrates Convolutional Neural Networks (CNN) with EfficientNet to analyse skin lesion images and classify them into predefined disease categories. A confidence score is provided to indicate the reliability of each prediction. To improve interpretability, Gradient-weighted Class Activation Mapping (Grad-CAM) is incorporated to highlight image regions that significantly influence the model’s decision. In addition to classification, the system offers supportive healthcare information, including common symptoms, general medical advice, and approximate treatment cost ranges based on disease type and healthcare facility category. A location-based hospital recommendation feature is also included to guide users toward nearby medical centers using map-based search integration. By combining automated diagnosis, explainable visualization, financial awareness, and healthcare accessibility, the system demonstrates a practical application of deep learning in supporting informed medical decision-making and enhancing digital healthcare assistance. |
| Keywords | Skin Disease Classification, Convolutional Neural Network (CNN), Deep Learning, Grad-CAM, Explainable Artificial Intelligence (XAI), Medical Image Processing. |
| Field | Engineering |
| Published In | Volume 7, Issue 6, June 2026 |
| Published On | 2026-06-04 |
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CrossRef DOI is assigned to each research paper published in our journal.
IJLRP DOI prefix is
10.70528/IJLRP
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