Privacy-protecting, reliable response data discovery using COVID-19 patient observations | Zendy

Jihoon Kim | Zendy; Larissa Neumann | Zendy; Paulina Paul | Zendy; Michele E. Day | Zendy; Michael Aratow | Zendy; Douglas S. Bell | Zendy; Jason N. Doctor | Zendy; Ludwig Christian Hinske | Zendy; Xiaoqian Jiang | Zendy; Katherine Kim | Zendy; Michael E. Matheny | Zendy; Daniella Meeker | Zendy; Mark J. Pletcher | Zendy; Lisa M. Schilling | Zendy; Spencer L. SooHoo | Zendy; Hua Xu | Zendy; Kai Zheng | Zendy; Lucila OhnoMachado | Zendy; David M. Anderson | Zendy; Nicholas Anderson | Zendy; Chandrasekar Balacha | Zendy; Tyler Bath | Zendy; Sally L. Baxter | Zendy; Andrea Becker-Pennrich | Zendy; Elmer V. Bernstam | Zendy; William A. Carter | Zendy; Ngan Chau | Zendy; Yong-Jun Choi | Zendy; Steven Covington | Zendy; Scott L. DuVall | Zendy; Robert ElKareh | Zendy; Renato Florian | Zendy; Robert W Follett | Zendy; Benjamin P. Geisler | Zendy; Alessandro Ghigi | Zendy; Assaf Gottlieb | Zendy; Zhaoxian Hu | Zendy; Diana Ir | Zendy; Tara K. Knight | Zendy; Jejo Koola | Zendy; Tsung-Ting Kuo | Zendy; Nelson Lee | Zendy; Ulrich Mansmann | Zendy; Zongyang Mou | Zendy; Robert Murphy | Zendy; Nghia Nguyen | Zendy; Sebastian Niedermayer | Zendy; Eunice Park | Zendy; Amy M. Perkins | Zendy; Kai Post | Zendy; Clemens Rieder | Zendy; Clemens Scherer | Zendy; Andrey Soares | Zendy; Ekin Soysal | Zendy; Brian Tep | Zendy; Brian C. Toy | Zendy; Baocheng Wang | Zendy; Zhen R Wu | Zendy; Yujia Zhou | Zendy; Rachel A Zucker | Zendy

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Privacy-protecting, reliable response data discovery using COVID-19 patient observations

Author(s) -

Jihoon Kim,

Larissa Neumann,

Paulina Paul,

Michele E. Day,

Michael Aratow,

Douglas S. Bell,

Jason N. Doctor,

Ludwig Christian Hinske,

Xiaoqian Jiang,

Katherine Kim,

Michael E. Matheny,

Daniella Meeker,

Mark J. Pletcher,

Lisa M. Schilling,

Spencer L. SooHoo,

Hua Xu,

Kai Zheng,

Lucila OhnoMachado,

David M. Anderson,

Nicholas Anderson,

Chandrasekar Balacha,

Tyler Bath,

Sally L. Baxter,

Andrea Becker-Pennrich,

Elmer V. Bernstam,

William A. Carter,

Ngan Chau,

Yong-Jun Choi,

Steven Covington,

Scott L. DuVall,

Robert ElKareh,

Renato Florian,

Robert W Follett,

Benjamin P. Geisler,

Alessandro Ghigi,

Assaf Gottlieb,

Zhaoxian Hu,

Diana Ir,

Tara K. Knight,

Jejo Koola,

Tsung-Ting Kuo,

Nelson Lee,

Ulrich Mansmann,

Zongyang Mou,

Robert Murphy,

Nghia Nguyen,

Sebastian Niedermayer,

Eunice Park,

Amy M. Perkins,

Kai Post,

Clemens Rieder,

Clemens Scherer,

Andrey Soares,

Ekin Soysal,

Brian Tep,

Brian C. Toy,

Baocheng Wang,

Zhen R Wu,

Yujia Zhou,

Rachel A Zucker

Publication year - 2021

Publication title -

journal of the american medical informatics association

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocab054

Subject(s) - logistic regression , computer science , electronic health record , covid-19 , download , descriptive statistics , complement (music) , aggregate data , aggregate (composite) , health records , health care , internet privacy , world wide web , data science , medicine , statistics , machine learning , disease , political science , pathology , law , infectious disease (medical specialty) , materials science , chemistry , composite material , biochemistry , complementation , gene , phenotype , mathematics

To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.

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