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Table_3_A machine learning-based approach to predicting the..:

Jianhua Gu (552568) ; Rongli Xie (14276504) ; Yanna Zhao (1857691)...
https://figshare.com/articles/dataset/Table_3_A_machine_learning-based_approach_to_predicting_the_malignant_and_metastasis_of_thyroid_cancer_docx/21748682. , 2022

Link: https://doi.org/10.3389/fonc.2022.938292.s008

RT Journal
T1 <Title>Table_3_A machine learning-based approach to predicting the malignant and metastasis of thyroid cancer.docx</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21748682&Exemplar=1&LAN=DE
				
A1 Jianhua Gu (552568)
A1 Rongli Xie (14276504)
A1 Yanna Zhao (1857691)
A1 Zhifeng Zhao (4859473)
A1 Dan Xu (138152)
A1 Min Ding (545532)
A1 Tingyu Lin (14276507)
A1 Wenjuan Xu (285239)
A1 Zihuai Nie (14276510)
A1 Enjun Miao (14276513)
A1 Dan Tan (399342)
A1 Sibo Zhu (6578660)
A1 Dongjie Shen (11894396)
A1 Jian Fei (95896)
YR 2022
K1 Cancer
K1 Cancer Cell Biology
K1 Cancer Diagnosis
K1 Cancer Genetics
K1 Cancer Therapy (excl. Chemotherapy and Radiation Therapy)
K1 Chemotherapy
K1 Haematological Tumours
K1 Molecular Targets
K1 Radiation Therapy
K1 Solid Tumours
K1 Oncology and Carcinogenesis not elsewhere classified
K1 machine learning
K1 thyroid cancer
K1 thyroid nodule
K1 risk prediction
K1 metastasis
JF https://figshare.com/articles/dataset/Table_3_A_machine_learning-based_approach_to_predicting_the_malignant_and_metastasis_of_thyroid_cancer_docx/21748682
LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.938292.s008
DO https://doi.org/10.3389/fonc.2022.938292.s008
SF ELIB - SuUB Bremen

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