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Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study
Research article (Translational Oncology, 2021) · cited 52× · AI/ML
Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study
Summary
Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study is a scholarly article[1].
Key Facts
Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-artificial-intelligence-machine-learning-approaches-to-precisely-predict-survival-and-site-specific-recurrence-in-
MLA“Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-artificial-intelligence-machine-learning-approaches-to-precisely-predict-survival-and-site-specific-recurrence-in-.
BibTeX@misc{4ortxyz_novel-artificial-intelligence-machine-learning-approaches-to-precisely-predict-survival-and-site-specific-recurrence-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study}}, year = {2026}, url = {https://4ort.xyz/entity/novel-artificial-intelligence-machine-learning-approaches-to-precisely-predict-survival-and-site-specific-recurrence-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study — https://4ort.xyz/entity/novel-artificial-intelligence-machine-learning-approaches-to-precisely-predict-survival-and-site-specific-recurrence-in- (retrieved 2026-05-24)
