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Michael Mason

Sage Bionetworks

1100 Fairview Ave. N.

Mailstop M1-C108

Seattle, WA 98109

United States

SCHOLARLY PAPERS

1

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72

TOTAL CITATIONS

1

Scholarly Papers (1)

1.

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

Number of pages: 26 Posted: 07 Mar 2022
Cornell University - Hospital for Special Surgery, affiliation not provided to SSRN, Sage Bionetworks - Computational Oncology Group, affiliation not provided to SSRN, Sage Bionetworks - Computational Oncology Group, Sage Bionetworks, Sage Bionetworks, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sage Bionetworks, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Alabama at Birmingham and Cornell University - Division of Rheumatology
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Citation 1

Abstract:

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rheumatoid arthritis, machine learning, Quantify, radiographic, joint damage