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Using machine learning, general regression, and cox proportional hazards regression to predict the effectiveness of treatment in patients with breast cancer

The objective of this feasibility study is to introduce machine learning algorithms in the combination of general regression and cox proportional hazards regression to predicate the outcome of disease management. By using the delay in the receipt of adjuvant chemotherapy and SEER-Medicare databases...

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Bibliografiske detaljer
Main Authors: Wang, Xiaoyan, Hershman, Dawn L., Neugut, Alfred I.
Format: Artigo
Sprog:Inglês
Udgivet: American Medical Informatics Association 2006
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1839432/
https://ncbi.nlm.nih.gov/pubmed/17238752
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