Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Machine learning models demonstrate excellent accuracy in distinguishing OC from borderline and benign OTs, with several potential markers being validated.

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PubMed
Published
2025-03-01
Primary Topic
AI in cancer detection
Type
article
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article

Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Yanjie Ren, Dongsha Shi, Xiaofang Zhang, Zuoliang Dong et al.
PubMed
AI in cancer detection
article

Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Yanjie Ren, Dongsha Shi, Xiaofang Zhang, Zuoliang Dong, Huai‐Rong Luo, Ruiyu Ma, Wenyan Tian
article en

Abstract

Machine learning models demonstrate excellent accuracy in distinguishing OC from borderline and benign OTs, with several potential markers being validated.

PubMedVol. 55(2)
Tianjin Medical University General Hospital (CN)
Openalex Percentile: Top 95%
AI in cancer detection
OpenAlex
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Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning. — Yanjie Ren, Dongsha Shi, et al. · PubMed (2025) | TGRS Research Map | TGRS