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Identifying and understanding determinants of high healthcare costs for breast cancer: a quantile regression machine learning approach

Published Online: 2020-11-23

Published Print: 2020-12

Authors

Hu, Liangyuan http://orcid.org/0000-0002-4067-892X
Li, Lihua

Ji, Jiayi

Sanderson, Mark
Funding

Funding for this research was provided by:

Patient-Centered Outcomes Research Institute (ME 2017C3 9041)

National Cancer Institute (R21CA245855, P30CA196521)
License Information

Text and Data Mining valid from 2020-11-23

Version of Record valid from 2020-11-23
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Article History

Received: 30 July 2020

Accepted: 18 November 2020

First Online: 23 November 2020

Ethics approval and consent to participate

: Ethical approval for the OCM data analysis study was obtained from Icahn School of Medicine at Mount Sinai Program for the Protection of Human Subjects, Institutional Review Boards (reference number HS#17–00291). Because the Mount Sinai OCM data contains no personal identifiers and is retrospective in nature, the need for consent was waived by the IRB. No other administrative permissions were required to access and use the data.

: Not Applicable.

: The authors declare that they have no competing interests.

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