Machine learning-based prediction of long-term prognosis in cervical adenocarcinoma: a retrospective cohort study

Q: How does OCRA curate its research paper database?

OCRA indexes peer-reviewed papers from PubMed and CrossRef, enriched with MeSH terms, author profiles, and citation metrics. Papers are categorized by cancer type, research method, and clinical relevance.

Q: Can I search papers by MeSH term or author?

Yes. Use the search bar to filter papers by MeSH term, author name, journal, keyword, or cancer type. Each paper includes linked MeSH terms and author profiles for further exploration.

Q: How current is the paper database?

The database is updated regularly through automated ingestion from PubMed and CrossRef. Most papers appear within days of their PubMed indexing date.

doi:10.1186/s12885-026-15730-y

Machine learning-based prediction of long-term prognosis in cervical adenocarcinoma: a retrospective cohort study

Gangfeng Zhu & Zenghong Lu et al. · 2026

Links

DOI

Journal

Unknown Journal

Authors

Gangfeng Zhu, Cixiang Chen, Yi Xiang, Yili Wang, Linyu Zhong, Zenghong Lu