Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data-Reference-Cited by-同舟云学术

Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data

Published:2021-02-25 Issue:3 Volume:73 Page:442-448
ISSN:2151-464X
Container-title:Arthritis Care & Research
language:en
Short-container-title:Arthritis Care Res

Author:

Tedeschi Sara K.¹^ORCID,Cai Tianrun¹,He Zeling²,Ahuja Yuri³,Hong Chuan⁴,Yates Katherine A.³,Dahal Kumar⁵,Xu Chang⁵,Lyu Houchen⁵,Yoshida Kazuki¹,Solomon Daniel H.¹,Cai Tianxi⁶,Liao Katherine P.¹^ORCID

Affiliation:

1. Brigham and Women’s Hospital and Harvard Medical School Boston Massachusetts

2. Brigham and Women’s Hospital and Harvard T. H. Chan School of Public Health Boston Massachusetts

3. Harvard Medical School Boston Massachusetts

4. Harvard T. H. Chan School of Public Health Boston Massachusetts

5. Brigham and Women’s Hospital Boston Massachusetts

6. Harvard T. H. Chan School of Public Health and Harvard Medical School Boston Massachusetts

Funder

Brigham and Women's Hospital

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Publisher

Wiley

Subject

Rheumatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acr.24132

Reference19 articles.

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2. Unmet needs and the path forward in joint disease associated with calcium pyrophosphate crystal deposition [review].;Abhishek A;Arthritis Rheumatol,2018

3. Pseudogout among patients fulfilling a billing code algorithm for calcium pyrophosphate deposition disease;Tedeschi SK;Rheumatol Int,2018

4. Methods for high-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP);Zhang Y;Nat Protoc,2019

5. An overview of topic modeling and its current applications in bioinformatics;Liu L;Springerplus,2016

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2. Calcium pyrophosphate deposition disease: historical overview and potential gaps;Frontiers in Medicine;2024-04-04

3. 25 Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: A Comprehensive Review (Preprint);2024-03-31

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