Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Sergey Goryachev"'
Autor:
Su H. Chu, Emily S. Wan, Michael H. Cho, Sergey Goryachev, Vivian Gainer, James Linneman, Erica J. Scotty, Scott J. Hebbring, Shawn Murphy, Jessica Lasky-Su, Scott T. Weiss, Jordan W. Smoller, Elizabeth Karlson
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Electronic health records (EHR) provide an unprecedented opportunity to conduct large, cost-efficient, population-based studies. However, the studies of heterogeneous diseases, such as chronic obstructive pulmonary disease (COPD), often requ
Externí odkaz:
https://doaj.org/article/92a3cd4bff984a15bac3e86cb70bc9f3
Autor:
Katherine P Liao, Ashwin N Ananthakrishnan, Vishesh Kumar, Zongqi Xia, Andrew Cagan, Vivian S Gainer, Sergey Goryachev, Pei Chen, Guergana K Savova, Denis Agniel, Susanne Churchill, Jaeyoung Lee, Shawn N Murphy, Robert M Plenge, Peter Szolovits, Isaac Kohane, Stanley Y Shaw, Elizabeth W Karlson, Tianxi Cai
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136651 (2015)
BACKGROUND:Typically, algorithms to classify phenotypes using electronic medical record (EMR) data were developed to perform well in a specific patient population. There is increasing interest in analyses which can allow study of a specific outcome a
Externí odkaz:
https://doaj.org/article/843e2538294445f0890086f96442a221
Autor:
Victor M. Castro, Nich Wattanasin, Heekyong Park, Shawn N. Murphy, Taowei David Wang, Vivian S. Gainer, Sergey Goryachev
Publikováno v:
Methods of Information in Medicine. 61:167-173
Objective To provide high-quality data for coronavirus disease 2019 (COVID-19) research, we validated derived COVID-19 clinical indicators and 22 associated machine learning phenotypes, in the Mass General Brigham (MGB) COVID-19 Data Mart. Methods Fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d39f1ecce41e6518dc7f7a30f3fe21
https://doi.org/10.1055/a-1938-0436
https://doi.org/10.1055/a-1938-0436
Autor:
Kristian Mogensen, Sergey Goryachev
Publikováno v:
Day 4 Thu, November 03, 2022.
First-contact miscibility (FCM) occurs when an original injection gas is miscible with a reservoir oil regardless of the mixing ratio. As a consequence, the displacement will remain single-phase and the microscopic displacement efficiency will be 100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca1d07f7f2adac777ff43a9be2e56f6
https://doi.org/10.2118/211441-ms
https://doi.org/10.2118/211441-ms
Publikováno v:
Digestive Diseases and Sciences. 67:473-480
Conventional adenomas (CAs) and serrated polyps (SPs) are precursors to colorectal cancer (CRC). Understanding metachronous cancer risk is poor due to lack of accurate large-volume datasets. We outline the use of natural language processing (NLP) in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7dc476f14e591cf0905efe01471e301
https://doi.org/10.1007/s10620-021-06882-x
https://doi.org/10.1007/s10620-021-06882-x
Autor:
James G. Linneman, Erica J. Scotty, Jessica Lasky-Su, Jordan W. Smoller, Scott J. Hebbring, Emily S. Wan, Sergey Goryachev, Shawn N. Murphy, Su H. Chu, Vivian S. Gainer, Elizabeth W. Karlson, Michael H. Cho, Scott T. Weiss
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Electronic health records (EHR) provide an unprecedented opportunity to conduct large, cost-efficient, population-based studies. However, the studies of heterogeneous diseases, such as chronic obstructive pulmonary disease (COPD), often require labor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630be96f0ee5154213d51f73ccbb254f
https://pubmed.ncbi.nlm.nih.gov/34620889
https://pubmed.ncbi.nlm.nih.gov/34620889
Autor:
Mary Brophy, Qingzhu Liu, Robert B. Hall, Shaoyu Su, Ramana Seerapu, Sarah Leatherman, Ryan Acher, Danne C. Elbers, Nilla Majahalme, Ryan Ferguson, Jeff Ferraro, Rupali Dhond, Sergey Goryachev, Scott L. DuVall, Tori Anglin-Foote, Svitlana Dipietro, Nhan Do
Publikováno v:
JAMIA Open
Objective To best meet our point-of-care research (POC-R) needs, we developed ProjectFlow, a configurable, clinical research workflow management application. In this article, we describe ProjectFlow and how it is used to manage study processes for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fe01fbeeac738d431a84f163d55623
https://pubmed.ncbi.nlm.nih.gov/34485848
https://pubmed.ncbi.nlm.nih.gov/34485848
Autor:
Vinh T. Nguyen, Michael A Parenteau, Feng-Chi Sung, Judith Strymish, Nathanael Fillmore, Jane A. Driver, Theodore C. Feldman, Robert S Sprague, Steven J Bergstrom, Stewart Evans, Robert B. Hall, Robert Zwolinski, Stephen J. Miller, Svitlana Dipietro, Mary Brophy, Jennifer La, Sergey Goryachev, David J. Thornton, Nhan Do, Anahit Aleksanyan, Paul Corcoran, Danne C. Elbers, Benjamin Colonna, Nicholas Link
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association
Objective Reducing risk of coronavirus disease 2019 (COVID-19) infection among healthcare personnel requires a robust occupational health response involving multiple disciplines. We describe a flexible informatics solution to enable such coordination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56533f802d707c860eedb2c131c56827
https://pubmed.ncbi.nlm.nih.gov/33306790
https://pubmed.ncbi.nlm.nih.gov/33306790
Autor:
Jose Rodiguez, Sergey Goryachev, Natela Belova, Elkin Arroyo Negrete, Ahmed Yahya Al Blooshi, Mahmoud Basioni
Publikováno v:
Day 4 Thu, November 15, 2018.
History matching (HM) is a mandatory step for any reservoir simulation study. Without a proper history match, a reservoir simulation model may lose credibility, or even worse, may lead to erroneous conclusions. HM is typically approached by reservoir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55785b28fc1a696fbf9877d16e3e28b0
https://doi.org/10.2118/193018-ms
https://doi.org/10.2118/193018-ms
Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates
Publikováno v:
Digestive diseases and sciences. 63(7)
ADR is a widely used colonoscopy quality indicator. Calculation of ADR is labor-intensive and cumbersome using current electronic medical databases. Natural language processing (NLP) is a method used to extract meaning from unstructured or free text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a97b15c621e85e958064195748b9e2
https://pubmed.ncbi.nlm.nih.gov/29696479
https://pubmed.ncbi.nlm.nih.gov/29696479