Arduino P. G. et al.: Long-term evaluation of pemphigus vulgaris: a retrospective consideration of 98 patients treated in an oral medicine unit in north-west Italy. Journal of Oral Pathology & Medicine 48(5), 2019, 406–412 [http://doi.org/10.1111/jop.12847].
Bhadula S. et al.: Machine Learning Algorithms based Skin Disease Detection. International Journal of Innovative Technology and Exploring Engineering – IJITEE 9(2), 2019, 4044-4049 [http://doi.org/10.35940/ijitee.B7686.129219].
Elngar A. A.: Intelligent System for Skin Disease Prediction using Machine Learning. 3rd International Conference on Smart and Intelligent Learning for Information Optimization 1998, 2021 [http://doi.org/10.1088/1742-6596/1998/1/012037].
Hashi E. K., Md. Shahid Uz Zaman: Developing a Hyperparameter Tuning Based Machine Learning Approach of Heart Disease Prediction. Journal of Applied Science & Process Engineering 7(2), 2020, 631–647 [http://doi.org/10.33736/jaspe.2639.2020].
Jonnavithula S. K. et al.: Role of Machine Learning Algorithms Over Heart Diseases Prediction. 2nd International Conference on Sustainable Manufacturing, Materials and Technologies 2292(1), 2020, [http://doi.org/10.1063/5.0030743].
Kameswara Rao T. et al.: Skin Disease Detection Using Machine Learning. UGC CARE Listed (Group-I) Journal 11(12), 2022, 1593–1604 [http://doi.org/10.48047/IJFANS/V11/I12/171].
Kumar A., Shetty P., Balipa M., Rao B., Puneeth B., Shravya: An efficient technique to detect skin Disease Using Image Processing. International Conference on Artificial Intelligence and Data Engineering – AIDE, Karkala 2022, 35–40 [http://doi.org/10.1109/AIDE57180.2022.10060001].
Kumar V. B., Kumar S. S., Saboo V.: Dermatological disease detection using image processing and machine learning. Third International Conference on Artificial Intelligence and Pattern Recognition – AIPR, Lodz, 2016, 1–6 [http://doi.org/10.1109/ICAIPR.2016.7585217].
Mahesh B.: Machine Learning Algorithms – A Review. International Journal of Science and Research – IJSR 9(1), 2020, 381–386.
Połap D. et al.: An Intelligent System for Monitoring Skin diseases. Special Issue From Sensors to Ambient Intelligence for Health and Social, 2018 [http://doi.org/10.3390/s18082552].
Rathod J. et al.: Diagnosis of skin diseases using Convolutional Neural Networks. Second International Conference on Electronics, Communication and Aerospace Technology – ICECA, Coimbatore, 2018, 1048–1051 [http://doi.org/10.1109/ICECA.2018.8474593].
Rimi T. A. et al.: Derm-NN: Skin Diseases Detection Using Convolutional Neural Network. 4th International Conference on Intelligent Computing and Control Systems – ICICCS. Madurai, 2020, 1205–1209 [http://doi.org/10.1109/ICICCS48265.2020.9120925].
Sumithra R., Suhilb M., Guruc D. S.: Segmentation and classification of skin lesions for disease diagnosis. Procedia Computer Science 45, 2015, 76–85 [http://doi.org/10.1016/j.procs.2015.03.090].
American Academy of Dermatology. https://www.aad.org/public/diseases/a-z/pemphigus-symptoms (accessed: 21.01.2023).
Cleveland Clinic. https://my.clevelandclinic.org/health/diseases/21130-pemphigus (accessed: 20.04.2023)
DermNet. https://dermnetnz.org/images/pemphigus-vulgaris-images (accessed: 10.01.2023).
DermNet. https://dermnetnz.org/topics/pemphigus-foliaceus (accessed: 07.02.2023).
National library of medicine. https://www.ncbi.nlm.nih.gov/books/NBK560860/ (accessed: 29.04.2023)
NHS. https://www.nhs.uk/conditions/pemphigus-vulgaris/ (accessed: 03.01.2023).
WebPathology. https://www.webpathology.com/image.asp?n=2&Case=697 (accessed: 20.02.2023).