Presumptive Diagnosis of Cutaneous Leishmaniasis
| Autor: | Carlos Alberto Arce-Lopera, Javier Diaz-Cely, Lina Marcela Quintero |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Computer applications to medicine. Medical informatics R858-859.7 Tropical disease Presumptive diagnosis Disease medicine.disease Machine learning computer.software_genre Convolutional neural network Bibliography. Library science. Information resources Cutaneous leishmaniasis Ensemble prediction Neglected tropical diseases medicine Artificial intelligence business Transfer of learning computer |
| Zdroj: | Frontiers in Health Informatics, Vol 10, Iss 1 (2021) |
| ISSN: | 2676-7104 |
| Popis: | Introduction: Cutaneous Leishmaniasis is a neglected tropical disease caused by a parasite. The most common presumptive diagnostic tool for this disease is the visual examination of the associated skin lesions by medical experts. Here, a mobile application was developed to aid this pre-diagnosis using an automatic image recognition software based on a convolutional neural network model.Material and Methods: A total of 2022 images of cutaneous diseases taken from 2012 to 2018 were used for training. Then, in 2019, machine learning techniques were tested to develop an automatic classification model. Also, a mobile application was developed and tested against specialized human experts to compare its performance.Results: Transfer learning using the VGG19 model resulted in a 93% accuracy of the classification model. Moreover, on average, the automatic model performance on a randomly selected skin image sample revealed a 99% accuracy while, the ensemble prediction of seven human medical expert’s accuracy was 83%.Conclusion: Mobile skin monitoring applications are crucial developments for democratizing health access, especially for neglected tropical diseases. Our results revealed that the image recognition software outperforms human medical experts and can alert possible patients. Future developments of the mobile application will focus on health monitoring of Cutaneous Leishmaniasis patients via community leaders and aiming at the promotion of treatment adherence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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