{"title":"利用机器学习和移动应用技术进行白癜风管理：概念验证","authors":"Mahla Abdolahnejad, Hyerin Jeong, Victoria Lin, Tiffany Ng, Emad Altaki, Anthea Mo, Burak Yildiz, Hannah O. Chan, Collin Hong, Rakesh Joshi","doi":"10.1101/2024.09.06.24313068","DOIUrl":null,"url":null,"abstract":"Vitiligo, a dermatological condition characterized by depigmented patches on the skin, affects up to 2% of the global population. Its management is complex, often hindered by delayed diagnosis due to limited access to dermatologists and/ digital tools. Recent advancements in machine learning (ML) offer a potential solution by providing digital tools for early detection and management. This proof-of-concept study describes the development of a machine learning pipeline integrated into a mobile application for vitiligo assessment.","PeriodicalId":501385,"journal":{"name":"medRxiv - Dermatology","volume":"179 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging Machine Learning & Mobile Application Technology for Vitiligo Management: A Proof-of-Concept\",\"authors\":\"Mahla Abdolahnejad, Hyerin Jeong, Victoria Lin, Tiffany Ng, Emad Altaki, Anthea Mo, Burak Yildiz, Hannah O. Chan, Collin Hong, Rakesh Joshi\",\"doi\":\"10.1101/2024.09.06.24313068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vitiligo, a dermatological condition characterized by depigmented patches on the skin, affects up to 2% of the global population. Its management is complex, often hindered by delayed diagnosis due to limited access to dermatologists and/ digital tools. Recent advancements in machine learning (ML) offer a potential solution by providing digital tools for early detection and management. This proof-of-concept study describes the development of a machine learning pipeline integrated into a mobile application for vitiligo assessment.\",\"PeriodicalId\":501385,\"journal\":{\"name\":\"medRxiv - Dermatology\",\"volume\":\"179 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Dermatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.06.24313068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.06.24313068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Leveraging Machine Learning & Mobile Application Technology for Vitiligo Management: A Proof-of-Concept
Vitiligo, a dermatological condition characterized by depigmented patches on the skin, affects up to 2% of the global population. Its management is complex, often hindered by delayed diagnosis due to limited access to dermatologists and/ digital tools. Recent advancements in machine learning (ML) offer a potential solution by providing digital tools for early detection and management. This proof-of-concept study describes the development of a machine learning pipeline integrated into a mobile application for vitiligo assessment.
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