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Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study.

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Title: Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study.
Authors: Meng, Jian1 (AUTHOR), Niu, Xiaoyu1 (AUTHOR), Luo, Can1 (AUTHOR), Chen, Yueyue1 (AUTHOR), Li, Qiao1 (AUTHOR), Wei, Dongmei1 (AUTHOR) weidongmei@scu.edu.cn
Source: Journal of Medical Internet Research. 2024, Vol. 26, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study.
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  Data: <searchLink fieldCode="AR" term="%22Meng%2C+Jian%22">Meng, Jian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Niu%2C+Xiaoyu%22">Niu, Xiaoyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Can%22">Luo, Can</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yueyue%22">Chen, Yueyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qiao%22">Li, Qiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Dongmei%22">Wei, Dongmei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> weidongmei@scu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2024, Vol. 26, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182058874
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      – Type: doi
        Value: 10.2196/55734
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study.
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            NameFull: Niu, Xiaoyu
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            NameFull: Luo, Can
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            NameFull: Li, Qiao
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              M: 01
              Text: 2024
              Type: published
              Y: 2024
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              Value: 26
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