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Scholarly Papers (1)
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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
Dongmei Sun
,
Thanh M. Nguyen
,
Robert J. Allaway
,
Jelai Wang
,
Verena Chung
,
Thomas V. Yu
,
Michael Mason
,
Isaac Dimitrovsky
,
Lars Ericson
,
Hongyang Li
,
Yuanfang Guan
,
Ariel Israel
,
Alex Olar
,
Balint Armin Pataki
, RA2-DREAM Challenge Community,
Gustavo Stolovitzky
,
Justin Guinney
,
Percio S. Gulko
,
Mason B. Frazier
,
James C. Costello
,
Jake Y. Chen
and
S. Louis Bridges
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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Abstract:
rheumatoid arthritis, machine learning, Quantify, radiographic, joint damage
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