Application of Nonlinear Models Combined with Conventional Laboratory Indicators for the Diagnosis and Differential Diagnosis of Ovarian Cancer

Existing biomarkers for ovarian cancer lack sensitivity and specificity. We compared the diagnostic efficacy of nonlinear machine learning and linear statistical models for diagnosing ovarian cancer using a combination of conventional laboratory indicators. We divided 901 retrospective samples into...

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Detalles Bibliográficos
Autores principales: Zhang, Tongshuo, Pang, Aibo, Lyu, Jungang, Ren, Hefei, Song, Jiangnan, Zhu, Feng, Liu, Jinlong, Cui, Yuntao, Ling, Cunbao, Tian, Yaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917843/
https://www.ncbi.nlm.nih.gov/pubmed/36769493
http://dx.doi.org/10.3390/jcm12030844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917843/
https://www.ncbi.nlm.nih.gov/pubmed/36769493
http://dx.doi.org/10.3390/jcm12030844

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