An interpretable machine learning model integrating 54 test indicators and age: a single-center study on precise discrimination between serous ovarian cancer and ovarian cysts
- DOI
- 10.1186/s12911-026-03727-3
- Published
- 2026-08-08
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03727-3,
title = {An interpretable machine learning model integrating 54 test indicators and age: a single-center study on precise discrimination between serous ovarian cancer and ovarian cysts},
author = {Chunmei Liu and Zhongning Wei and Yang Qiu and Ying Ju and Fulu Chu and Bingru Lu and Shan Ding and Yiqing Liu},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03727-3},
url = {https://doi.org/10.1186/s12911-026-03727-3}
}RIS
TY - JOUR TI - An interpretable machine learning model integrating 54 test indicators and age: a single-center study on precise discrimination between serous ovarian cancer and ovarian cysts AU - Chunmei Liu AU - Zhongning Wei AU - Yang Qiu AU - Ying Ju AU - Fulu Chu AU - Bingru Lu AU - Shan Ding AU - Yiqing Liu PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03727-3 UR - https://doi.org/10.1186/s12911-026-03727-3 ER -
APA
Liu, C., Wei, Z., Qiu, Y., Ju, Y., Chu, F., Lu, B., Ding, S., & Liu, Y. (2026). An interpretable machine learning model integrating 54 test indicators and age: a single-center study on precise discrimination between serous ovarian cancer and ovarian cysts. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03727-3
Source records
- crossref · retrieved 2026-11-08T10:48:40.654Z