Cervical cancer prediction using machine learning models based on routine blood analysis

Cervical cancer prediction using machine learning models based on routine blood analysis

Abstract Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing and treating CC is early detection, diagnosis, and treatment. This study aimed to develop an interpretable model for predicting CC risk using routine blood data. The primary endpoint variable i...

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Bibliographic Details
Main Authors: Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Blood routine
Cervical cancer
Machine learning
Shapley additive interpretation
Online Access:https://doi.org/10.1038/s41598-025-08166-0
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https://doi.org/10.1038/s41598-025-08166-0

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