International Journal of Social Science & Economic Research
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Title:
The Virtual Doctor: Diagnosing Skin Conditions Using Machine Learning

Authors:
John Leddo

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John Leddo
MyEdMaster, LLC Virginia, USA

MLA 8
Leddo, John. "The Virtual Doctor: Diagnosing Skin Conditions Using Machine Learning." Int. j. of Social Science and Economic Research, vol. 10, no. 1, Jan. 2025, pp. 390-398, doi.org/10.46609/IJSSER.2025.v10i01.022. Accessed Jan. 2025.
APA 6
Leddo, J. (2025, January). The Virtual Doctor: Diagnosing Skin Conditions Using Machine Learning. Int. j. of Social Science and Economic Research, 10(1), 390-398. Retrieved from https://doi.org/10.46609/IJSSER.2025.v10i01.022
Chicago
Leddo, John. "The Virtual Doctor: Diagnosing Skin Conditions Using Machine Learning." Int. j. of Social Science and Economic Research 10, no. 1 (January 2025), 390-398. Accessed January, 2025. https://doi.org/10.46609/IJSSER.2025.v10i01.022.

References

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[4] . Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056
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ABSTRACT:
The Virtual Doctor initiative aims to enhance global healthcare accessibility through advanced image classification techniques for disease detection from photographs. This pioneering platform seeks to revolutionize health assessments, especially in regions with limited healthcare resources. By employing a sophisticated machine learning model, Virtual Doctor enables users to conduct real-time health evaluations simply by capturing images with a smartphone or camera-equipped device. This system empowers individuals to perform self-assessments and receive instantaneous feedback on their health status, facilitating early detection and preventive care. The innovative approach not only educates users on proper hygiene practices but also significantly improves access to healthcare services. By streamlining the health monitoring process, Virtual Doctor aspires to elevate overall health outcomes, particularly in underserved populations. This report focuses on the skin health module of the platform, demonstrating how the underlying technology can be adapted for various health domains, including facial health. Each module is tailored to address specific diagnostic needs, showcasing the versatility and effectiveness of the Virtual Doctor initiative in promoting health awareness and improving health outcomes across diverse populations.

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