Assessing the Efficacy of CEA and CA19.9 in Predicting Ovarian Cancer: Based on Logistic Regression Analysis
Author:
Affiliation:
1. Department of Guangzhou Dublin International College of Life Science and Technology at South China Agricultural University, South China Agricultural University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637732.3637784
Reference10 articles.
1. Bray F. Ferlay J. Soerjomataram I. Siegel R. L. Torre L. A. & Jemal A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians 68(6) 394-424. https://doi.org/10.3322/caac.21492
2. Cancer statistics, 2020
3. Development of a Multiprotein Classifier for the Detection of Early Stage Ovarian Cancer
4. Comparison of CA125, HE4, and ROMA index for ovarian cancer diagnosis
5. Desai S. & Guddati A. K. (2023). Carcinoembryonic antigen carbohydrate antigen 19-9 cancer antigen 125 prostate-specific antigen and other cancer markers: A primer on commonly used cancer markers. World Journal of Oncology 14(1) 4-14. https://doi.org/10.14740/wjon1425
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