Comparing survival of older ovarian cancer patients treated with neoadjuvant chemotherapy versus primary cytoreductive surgery: Reducing bias through machine learning

Huang, Y., Rauh-Hain, J. A., McCoy, T. H., Hou, J. Y., Hillyer, G., Ferris, J. S., Hershman, D., Wright, J. D., & Melamed, A. (2024). Comparing survival of older ovarian cancer patients treated with neoadjuvant chemotherapy versus primary cytoreductive surgery: Reducing bias through machine learning. Gynecologic Oncology, 186, 9–16. https://doi.org/10.1016/j.ygyno.2024.03.016
Authors:
Yongmei Huang
J Alejandro Rauh-Hain
Thomas H McCoy
June Y Hou
Grace Hillyer
Jennifer S Ferris
Dawn Hershman
Jason D Wright
Alexander Melamed
Affiliated Authors:
Yongmei Huang
June Y Hou
Grace Hillyer
Jennifer S Ferris
Dawn Hershman
Jason D Wright
Columbia Affiliation:
Subjects:
Cytoreduction Surgical Procedures (MeSH)
Neoadjuvant Therapy (MeSH)
Ovarian Neoplasms (MeSH)
Machine Learning (MeSH)
SEER Program (MeSH)
Author Keywords:
multidimensional comorbidity index
machine learning
neoadjuvant chemotherapy
primary cytoreductive surgery
all-cause mortality
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Publication Type:
Article
Unique ID:
10.1016/j.ygyno.2024.03.016
PMID:
38554626
DOI:
10.1016/j.ygyno.2024.03.016
Journal:
Gynecologic Oncology
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: