Back to search

Article

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

2024-08-22

Abstract excerpt

<title>Abstract</title> <p>Background and objective: Cervical cancer is the fourth most common cancer among women globally. The key of prevention and treatment of cervical cancer is early detection, diagnosis and treatment. We aimed to develop an interpretable model to predict the risk for patients with cervical cancer based on blood routine data and used the Shapley additive interpretation (SHAP) method to expl...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5cf2510e-efd8-512a-89da-bb03c41d107e
DOI
10.21203/rs.3.rs-4761322/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Cervical cancer prediction using machine learning models based on blood routine analysisDOI 10.21203/rs.3.rs-4761322/v1
Select a neighboring publication to make it the new centre.