Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: A case study of heart-failure phenotyping algorithm

Sungrim Moon; Sijia Liu; Bhavani Singh Agnikula Kshatriya; Sunyang Fu; Ethan D. Moser; Suzette J. Bielinski; Jungwei Fan; Hongfang Liu

doi:10.1371/journal.pone.0283800

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Open Access

Peer-reviewed

Research Article

Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: A case study of heart-failure phenotyping algorithm

Sungrim Moon,

Roles Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States of America

https://orcid.org/0000-0002-9191-3897

⨯
Sijia Liu,

Roles Software

Affiliation Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States of America
⨯
Bhavani Singh Agnikula Kshatriya,

Roles Software, Writing – review & editing

Affiliation Department of Center for Digital Health, Mayo Clinic, Rochester, MN, United States of America
⨯
Sunyang Fu,

Roles Software

Affiliation Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States of America

https://orcid.org/0000-0003-1691-5179

⨯
Ethan D. Moser,

Roles Data curation

Affiliation Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, United States of America
⨯
Suzette J. Bielinski,

Roles Investigation, Writing – review & editing

Affiliation Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN, United States of America
⨯
Jungwei Fan,

Roles Writing – review & editing

Affiliation Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States of America

https://orcid.org/0000-0001-6349-3752

⨯
Hongfang Liu

Roles Investigation, Supervision, Writing – review & editing

* E-mail: liu.hongfang@mayo.edu

Affiliation Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States of America
⨯

Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: A case study of heart-failure phenotyping algorithm

Sungrim Moon,
Sijia Liu,
Bhavani Singh Agnikula Kshatriya,
Sunyang Fu,
Ethan D. Moser,
Suzette J. Bielinski,
Jungwei Fan,
Hongfang Liu

Published: March 31, 2023
https://doi.org/10.1371/journal.pone.0283800

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