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Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling

Published Online: 2022-11-23

Authors

Austin, Andrea M.

Ramkumar, Niveditta

Gladders, Barbara

Barnes, Jonathan A.

Eid, Mark A.

Moore, Kayla O.

Feinberg, Mark W.

Creager, Mark A.

Bonaca, Marc

Goodney, Philip P.
Funding

Funding for this research was provided by:

American Heart Association (18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008, 18SFRN3390008)
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Text and Data Mining valid from 2022-11-23

Version of Record valid from 2022-11-23
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Article History

Received: 26 May 2022

Accepted: 22 September 2022

First Online: 23 November 2022

Declarations

:

: We accessed the data using Centers for Medicare and Medicaid Services (CMS) data use agreement RSCH-2018–52223. In accordance with this, all data was subject to standard CMS data suppression regulations. This study was approved by our Institutional Review Board, the Dartmouth-Hitchcock Health Human Research Protection Program (STUDY00030829) with waiver of informed consent.

: Not Applicable.

: None.

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