Epidemiological characteristics of thyroid cancer worldwide and construction of a machine learning diagnostic model

This study provides a comprehensive analysis of TC trends and introduces a machine-learning-based diagnostic tool. Additionally, single-cell RNA sequencing offers novel insights into the tumor microenvironment, which may help shape future treatment strategies for TC.

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Publication Details

Journal
Advances in Clinical and Experimental Medicine
Published
2025-04-16
DOI
https://doi.org/10.17219/acem/199327
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Epidemiological characteristics of thyroid cancer worldwide and construction of a machine learning diagnostic model

Jing Zou, Jingmei Li, Siting Zhou, Yanqiong Liu et al.
Advances in Clinical and Experimental Medicine
Healthcare Systems and Public Health
article

Epidemiological characteristics of thyroid cancer worldwide and construction of a machine learning diagnostic model

Jing Zou, Jingmei Li, Siting Zhou, Yanqiong Liu, Shasha Wang
article en

Abstract

This study provides a comprehensive analysis of TC trends and introduces a machine-learning-based diagnostic tool. Additionally, single-cell RNA sequencing offers novel insights into the tumor microenvironment, which may help shape future treatment strategies for TC.

Advances in Clinical and Experimental MedicineVol. 34(11)
Zhejiang Provincial People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 89%
Healthcare Systems and Public Health
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