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Sergey Goryachev
Researcher at VA Boston Healthcare System
Publications - 21
Citations - 2124
Sergey Goryachev is an academic researcher from VA Boston Healthcare System. The author has contributed to research in topics: Health care & Bipolar disorder. The author has an hindex of 14, co-authored 21 publications receiving 1951 citations. Previous affiliations of Sergey Goryachev include Brigham and Women's Hospital & Harvard University.
Papers
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Journal ArticleDOI
A mega-analysis of genome-wide association studies for major depressive disorder
Stephan Ripke,Naomi R. Wray,Cathryn M. Lewis,Steven P. Hamilton,Myrna M. Weissman,Gerome Breen,Enda M. Byrne,Douglas Blackwood,Dorret I. Boomsma,Sven Cichon,Andrew C. Heath,Florian Holsboer,Susanne Lucae,Pamela A. F. Madden,Nicholas G. Martin,Peter McGuffin,Pierandrea Muglia,Markus M. Noethen,Brenda P Penninx,Michele L. Pergadia,James B. Potash,Marcella Rietschel,Danyu Lin,Bertram Müller-Myhsok,Jianxin Shi,Stacy Steinberg,Hans J. Grabe,Paul Lichtenstein,Patrik K. E. Magnusson,Roy H. Perlis,Martin Preisig,Jordan W. Smoller,Kari Stefansson,Rudolf Uher,Zoltán Kutalik,Katherine E. Tansey,Alexander Teumer,Alexander Viktorin,Michael R. Barnes,Thomas Bettecken,Elisabeth B. Binder,René Breuer,Victor M. Castro,Susanne Churchill,William Coryell,Nicholas John Craddock,Ian W. Craig,Darina Czamara,Eco J. C. de Geus,Franziska Degenhardt,Anne Farmer,Maurizio Fava,Josef Frank,Vivian S. Gainer,Patience J. Gallagher,Scott D. Gordon,Sergey Goryachev,Magdalena Gross,Michel Guipponi,Anjali K. Henders,Stefan Herms,Ian B. Hickie,Susanne Hoefels,Witte J.G. Hoogendijk,Jouke-Jan Hottenga,Dan V. Iosifescu,Marcus Ising,Ian Jones,Lisa Jones,Tzeng Jung-Ying,James A. Knowles,Isaac S. Kohane,Martin A. Kohli,Ania Korszun,Mikael Landén,William Lawson,Glyn Lewis,Donald J. MacIntyre,Wolfgang Maier,Manuel Mattheisen,Patrick J. McGrath,Andrew M. McIntosh,Alan W. McLean,Christel M. Middeldorp,Lefkos T. Middleton,G. M. Montgomery,Shawn N. Murphy,Matthias Nauck,Willem A. Nolen,Dale R. Nyholt,Michael Conlon O'Donovan,Hogni Oskarsson,Nancy L. Pedersen,William A. Scheftner,Andrea Schulz,Thomas G Schulze,Stanley I. Shyn,Engilbert Sigurdsson,Susan L. Slager,Johannes H. Smit,Hreinn Stefansson,Michael Steffens,Thorgeir E. Thorgeirsson,Federica Tozzi,Jens Treutlein,Manfred Uhr,Edwin J. C. G. van den Oord,Gerard van Grootheest,Henry Völzke,Jeffrey B. Weilburg,Gonneke Willemsen,Frans G. Zitman,Benjamin M. Neale,Mark J. Daly,Douglas F. Levinson,Patrick F. Sullivan +115 more
TL;DR: This article conducted a genome-wide association studies (GWAS) mega-analysis for major depressive disorder (MDD) using more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18,759 independent and unrelated subjects of recent European ancestry.
Journal ArticleDOI
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
Qing Treitler Zeng,Sergey Goryachev,Scott T. Weiss,Margarita Sordo,Shawn N. Murphy,Ross Lazarus +5 more
TL;DR: The results are promising, given the complexity of the discharge summaries and the extraction tasks, and the expert-generated gold standard.
Journal ArticleDOI
Validation of electronic health record phenotyping of bipolar disorder cases and controls.
Victor M. Castro,Jessica Minnier,Shawn N. Murphy,Isaac S. Kohane,Susanne Churchill,Vivian S. Gainer,Tianxi Cai,Alison G. Hoffnagle,Yael G. Dai,Stefanie Russman Block,Sydney Weill,Mireya Nadal-Vicens,Alisha R. Pollastri,J. Niels Rosenquist,Sergey Goryachev,Dost Öngür,Pamela Sklar,Roy H. Perlis,Jordan W. Smoller +18 more
TL;DR: Semiautomated mining of EHRs can be used to ascertain bipolar disorder patients and control subjects with high specificity and predictive value compared with diagnostic interviews, and provide a powerful resource for high-throughput phenotyping for genetic and clinical research.
Proceedings Article
Making Texts in Electronic Health Records Comprehensible to Consumers: A Prototype Translator
TL;DR: A prototype text translator identifies difficult terms, replaces them with easier synonyms, and generates and inserts explanatory texts for them and demonstrates a non-statistically significant trend toward better comprehension when translation is provided.
Journal ArticleDOI
Term identification methods for consumer health vocabulary development.
Qing Treitler Zeng,Tony Tse,Guy Divita,Alla Keselman,Jon Crowell,Allen C. Browne,Sergey Goryachev,Long Ngo +7 more
TL;DR: The logistic regression model was found to be highly effective for CHV term identification and a set of criteria was established to ensure consistency in the collaborative review, which analyzed 1893 strings.