Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jacqueline, Honerlaw"'
Autor:
Monika Maripuri, Andrew Dey, Jacqueline Honerlaw, Chuan Hong, Yuk-Lam Ho, Vidisha Tanukonda, Alicia W Chen, Vidul Ayakulangara Panickan, Xuan Wang, Harrison G Zhang, Doris Yang, Malarkodi Jebathilagam Samayamuthu, Michele Morris, Shyam Visweswaran, Brendin Beaulieu-Jones, Rachel Ramoni, Sumitra Muralidhar, J Michael Gaziano, Katherine Liao, Zongqi Xia, Gabriel A Brat, Tianxi Cai, Kelly Cho
Publikováno v:
Online Journal of Public Health Informatics, Vol 16, p e53445 (2024)
BackgroundPost–COVID-19 condition (colloquially known as “long COVID-19”) characterized as postacute sequelae of SARS-CoV-2 has no universal clinical case definition. Recent efforts have focused on understanding long COVID-19 symptoms, and elec
Externí odkaz:
https://doaj.org/article/7c96d43daf1646feb7710db2561a9d95
Autor:
Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Jeffrey Gosian, Monika Maripuri, Michael Murray, Rahul Sangar, Ashley Galloway, Andrew J Zimolzak, Stacey B Whitbourne, Juan P Casas, Rachel B Ramoni, David R Gagnon, Tianxi Cai, Katherine P Liao, J Michael Gaziano, Sumitra Muralidhar, Kelly Cho
Publikováno v:
J Am Med Inform Assoc
The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs (VA) ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::752d4e7db285b95f33dc62fb2caeaf04
https://europepmc.org/articles/PMC10114031/
https://europepmc.org/articles/PMC10114031/
Autor:
Bing Lu, Daniel Posner, Jason L. Vassy, Yuk-Lam Ho, Ashley Galloway, Sridharan Raghavan, Jacqueline Honerlaw, Laura Tarko, John Russo, Saadia Qazi, Ariela R. Orkaby, Vidisha Tanukonda, Luc Djousse, J. Michael Gaziano, David R. Gagnon, Kelly Cho, Peter W.F. Wilson
Publikováno v:
The American Journal of Cardiology. 169:10-17
Risk prediction models for cardiovascular disease (CVD) death developed from patients without vascular disease may not be suitable for myocardial infarction (MI) survivors. Prediction of mortality risk after MI may help to guide secondary prevention.
Autor:
Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Jeffrey Gosian, Monika Maripuri, Michael Murray, Rahul Sangar, Ashley Galloway, Andrew J. Zimolzak, Stacey B. Whitbourne, Juan P. Casas, Rachel B. Ramoni, David R. Gagnon, Tianxi Cai, Katherine P. Liao, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho
The development of phenotypes using electronic health records is a resource intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs Office
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af6ffb1e6188474567a791fe6a28a0b5
https://doi.org/10.1101/2022.09.12.22279792
https://doi.org/10.1101/2022.09.12.22279792
Autor:
Jiehuan Sun, Victor M. Castro, Sicong Huang, David R. Gagnon, Ashwin N. Ananthakrishnan, Tianxi Cai, Jacqueline Honerlaw, Yuk-Lam Ho, Isaac S. Kohane, Peter Szolovits, Sheng Yu, Susanne Churchill, Yichi Zhang, Stanley Y. Shaw, Zongqi Xia, Shawn N. Murphy, Robert M. Plenge, Katherine P. Liao, J. Michael Gaziano, Nicholas Link, Kelly Cho, Elizabeth W. Karlson, Chuan Hong, Tianrun Cai, Vivian S. Gainer, Guergana Savova, Christopher J. O'Donnell, Jie Huang
Publikováno v:
Nat Protoc
Phenotypes are the foundation for clinical and genetic studies of disease risk and outcomes. The growth of biobanks linked to electronic medical record (EMR) data has both facilitated and increased the demand for efficient, accurate, and robust appro
Autor:
Tianrun Cai, Zeling He, Chuan Hong, Yichi Zhang, Yuk-Lam Ho, Jacqueline Honerlaw, Alon Geva, Vidul Ayakulangara Panickan, Amanda King, David R Gagnon, Michael Gaziano, Kelly Cho, Katherine Liao, Tianxi Cai
Publikováno v:
Journal of Biomedical Informatics. 132:104109
Accurately assigning phenotype information to individual patients via computational phenotyping using Electronic Health Records (EHRs) has been seen as the first step towards enabling EHRs for precision medicine research. Chart review labels annotate
Autor:
John Michael Gaziano, Tianxi Cai, Yuk-Lam Ho, Zeling He, David R. Gagnon, Nicholas Link, Saadia Qazi, Tianrun Cai, Peter W.F. Wilson, Ashley Galloway, Ariela R. Orkaby, Vidisha Tanukonda, Chuan Hong, Jiehuan Sun, Yichi Zhang, Lauren Costa, Jacqueline Honerlaw, Katherine P. Liao, Petra Schubert, Kelly Cho, Kumar Dahal
Publikováno v:
Circulation. 143
Introduction: The majority of population-based studies of myocardial infarction (MI) rely on billing codes for classification. Classification algorithms employing machine learning (ML) increasingly used for phenotyping using electronic health record
Autor:
Themistocles L. Assimes, P. S. Sriram, Qin Hui, Stephen Mastorides, Zuhair Ballas, Yan V. Sun, Hua Tang, Marijana Vujkovic, Ronald G Washburn, Samuel M. Aguayo, Jennifer Moser, Gwenevere Anderson, Mary A. Whooley, Sumitra Muralidhar, Agnes Wallbom, Adriana M. Hung, Xuan-Mai T. Nguyen, Huaying Fang, Jennifer Greco, Rachel B. Ramoni, Amparo Gutierrez, Saiju Pyarajan, Stuart R. Warren, Rob Striker, Pran Iruvanti, Mark B. Hamner, Scott L. DuVall, Elizabeth R. Hauser, Christopher J. O'Donnell, Donald E. Humphries, Jon B. Klein, Nora R. Ratcliffe, John M. Wells, Maureen Murdoch, Gerardo Villareal, Laurence Kaminsky, Peter W. F. Wilson, Mary E. Oehlert, Mary Brophy, Stacey B. Whitbourne, Louis J. Dell’Italia, Grant D. Huang, Ronald Fernando, Dean P. Argyres, Jie Huang, Hongyu Zhao, Scott Kinlay, Kelly Cho, Jeff Whittle, Scott M. Damrauer, Jacqueline Honerlaw, Sunil K. Ahuja, Laurence Meyer, Brooks Robey, John B. Harley, Gretchen Gibson, John Concato, Rachel McArdle, David Cohen, Krisann K. Oursler, Robin A. Hurley, Sujata Bhushan, Salvador Gutierrez, D Jhala, John J. Callaghan, Ron B. Schifman, Nhan Do, Junzhe Xu, Jim Breeling, Jessica V. Brewer, Elif Sonel, Kyong-Mi Chang, Peter W.F. Wilson, Brady Stephens, Shahpoor Shayan, Philip S. Tsao, Joseph Fayad, Michael Godschalk, Jack H. Lichy, Scott Sherman, Shing Shing Yeh, Alan Swann, Michael Rauchman, Samir Gupta, Satish C. Sharma, Edward Boyko, J. Michael Gaziano, Julie Lynch, Timothy R. Morgan, Jean C. Beckham, Todd Stapley, Malcolm Buford, Richard J. Servatius, Hermes Florez, Kathlyn Sue Haddock
Publikováno v:
The American Journal of Human Genetics. 105:763-772
Large-scale multi-ethnic cohorts offer unprecedented opportunities to elucidate the genetic factors influencing complex traits related to health and disease among minority populations. At the same time, the genetic diversity in these cohorts presents
Autor:
Luc Djoussé, Laura Tarko, Yuk-Lam Ho, Ariela R. Orkaby, Kelly Cho, John Russo, Bing Lu, David R. Gagnon, Jacqueline Honerlaw, Ashley Galloway, Daniel Posner, Saadia Qazi, Peter W.F. Wilson, Michael Gaziano, Vidisha Tanukonda, Sridharan Raghavan, Jason L. Vassy
Publikováno v:
Circulation. 142
Objective: This is a large prospective study aimed to develop risk prediction models of CVD and all-cause mortality in patients who survived MI. Methods: Using 2002-2012 national electronic health record data from the Veterans Health Administration,
Autor:
Xuan-Mai T, Nguyen, Rachel M, Quaden, Rebecca J, Song, Yuk-Lam, Ho, Jacqueline, Honerlaw, Stacey, Whitbourne, Scott L, DuVall, Jennifer, Deen, Saiju, Pyarajan, Jennifer, Moser, Grant D, Huang, Sumitra, Muralidhar, John, Concato, Philip S, Tsao, Christopher J, O'Donnell, Peter W F, Wilson, Luc, Djousse, David R, Gagnon, J Michael, Gaziano, Kelly, Cho
Publikováno v:
Journal of health research and reviews in developing countries
Aim Million Veteran Program (MVP) is the largest ongoing mega-cohort biobank program in the US with 570,131 enrollees as of May 2017. The primary aim is to describe demographics, military service, and major diseases and comorbidities of the MVP cohor