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Machine Learning Models to Predict Primary Sites of Metastatic Cervical Carcinoma From Unknown Primary

Metastatic cervical carcinoma from unknown primary (MCCUP) accounts for 1–4% of all head and neck tumors, and identifying the primary site in MCCUP is challenging. The most common histopathological type of MCCUP is squamous cell carcinoma (SCC), and it remains difficult to identify the primary site...

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Bibliografske podrobnosti
izdano v:	Front Genet
Main Authors:	Lu, Di, Jiang, Jianjun, Liu, Xiguang, Wang, He, Feng, Siyang, Shi, Xiaoshun, Wang, Zhizhi, Chen, Zhiming, Yan, Xuebin, Wu, Hua, Cai, Kaican
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2020
Teme:	Genetics
Online dostop:	https://ncbi.nlm.nih.gov/pmc/articles/PMC7779672/ https://ncbi.nlm.nih.gov/pubmed/33408743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.614823
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Machine Learning Models to Predict Primary Sites of Metastatic Cervical Carcinoma From Unknown Primary

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