P
Patricia Kovatch
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 47
Citations - 2708
Patricia Kovatch is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 12, co-authored 42 publications receiving 1439 citations. Previous affiliations of Patricia Kovatch include National Institute for Computational Sciences & University of Tennessee.
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Journal ArticleDOI
An inflammatory cytokine signature predicts COVID-19 severity and survival.
Diane Marie Del Valle,Seunghee Kim-Schulze,Hsin-Hui Huang,Noam D. Beckmann,Sharon Nirenberg,Bo Wang,Yonit Lavin,Talia H. Swartz,Deepu Madduri,Aryeh Stock,Thomas U. Marron,Hui Xie,Manishkumar Patel,Kevin Tuballes,Oliver Van Oekelen,Adeeb Rahman,Patricia Kovatch,Judith A. Aberg,Eric E. Schadt,Sundar Jagannath,Madhu Mazumdar,Alexander W. Charney,Adolfo Firpo-Betancourt,Damodara Rao Mendu,Jeffrey S. Jhang,David Reich,Keith Sigel,Carlos Cordon-Cardo,Marc Feldmann,Samir Parekh,Miriam Merad,Sacha Gnjatic +31 more
TL;DR: It is proposed that serum IL-6 and TNF-α levels should be considered in the management and treatment of patients with COVID-19 to stratify prospective clinical trials, guide resource allocation and inform therapeutic options.
Proceedings Article
TeraGrid: Analysis of organization, system architecture, and middleware enabling new types of applications
Charlie Catlett,William Allcock,Phil Andrews,Ruth A. Aydt,Ray Bair,Natasha Balac,Bryan Banister,Trish Barker,Mark Bartelt,Pete Beckman,Francine Berman,Gary R. Bertoline,Alan Blatecky,J.R. Boisseau,Jim Bottum,Sharon Brunett,Julian Bunn,Michelle Butler,David Carver,John W Cobb,Timothy M. Cockerill,Peter Couvares,Maytal Dahan,Diana Diehl,Thom H. Dunning,Ian Foster,Kelly Gaither,Dennis Gannon,Sebastien Goasguen,Michael Grobe,David Hart,Matt Heinzel,Chris Hempel,Wendy Huntoon,Joseph A. Insley,Chris Jordan,I. R. Judson,Anke Kamrath,Nicholas T. Karonis,Nicholas T. Karonis,Carl Kesselman,Patricia Kovatch,Lex Lane,Scott A. Lathrop,Michael J. Levine,David Lifka,Lee Liming,Miron Livny,Rich Loft,Doru Marcusiu,Jim Marsteller,Stuart Martin,D. Scott McCaulay,John McGee,Laura McGinnis,Michael McRobbie,Paul Messina,Paul Messina,Reagan Moore,R. L. Moore,John-Paul Navarro,Jeffrey A. Nichols,Michael E. Papka,Rob Pennington,Greg Pike,Jim Pool,Raghurama Reddy,Daniel A. Reed,Tony Rimovsky,Eric Roberts,Ralph Roskies,Sergiu Sanielevici,J. Ray Scott,Anurag Shankar,Mark Sheddon,Mike Showerman,Derek Simmel,Abe Singer,D. Skow,Shava Smallen,Warren Smith,Carol Song,Rick Stevens,Craig A. Stewart,Robert B. Stock,Nathan Stone,John Towns,Tomislav Urban,Mike Vildibill,Mike Vildibill,Edward B. Walker,Von Welch,Nancy Wilkins-Diehr,Roy Williams,Linda Winkler,Lan Zhao,Ann Zimmerman +96 more
TL;DR: The TeraGrid project has been supported through a variety of funding and in-kind con- tributions in addition to multiple grants from the National Science Foundation.
Journal ArticleDOI
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel J. Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,Valentin Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +48 more
TL;DR: Externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons were developed and established model interpretability to identify and rank variables that drive model predictions.
Proceedings ArticleDOI
Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using mount sinai heart failure cohort
Khader Shameer,Kipp W. Johnson,Alexandre Yahi,Riccardo Miotto,Li Li,Doran Ricks,Jebakumar Jebakaran,Patricia Kovatch,Partho P. Sengupta,Sengupta Gelijns,Alan Moskovitz,Bruce J. Darrow,David L David,Andrew Kasarskis,Nicholas P. Tatonetti,Sean Pinney,Joel T. Dudley +16 more
TL;DR: An attempt to develop a data-driven, electronic-medical record-wide (EMR-wide) feature selection approach and subsequent machine learning to predict readmission probabilities and results are encouraging and reveal the utility of such datadriven machine learning.
Posted ContentDOI
An inflammatory cytokine signature helps predict COVID-19 severity and death
Diane Marie Del Valle,Seunghee Kim-Schulze,Huang Hsin-hui,Noam D. Beckmann,Sharon Nirenberg,Bo Wang,Yonit Lavin,Talia H. Swartz,Deepu Madduri,Aryeh Stock,Thomas U. Marron,Hui Xie,Manishkumar Patel,Oliver Van Oekelen,Adeeb Rahman,Patricia Kovatch,Judith A. Aberg,Eric E. Schadt,Sundar Jagannath,Madhu Mazumdar,Alexander W. Charney,Adolfo Firpo-Betancourt,Damodara Rao Mendu,Jeffrey S. Jhang,David Reich,Keith Sigel,Carlos Cordon-Cardo,Marc Feldmann,Samir Parekh,Miriam Merad,Sacha Gnjatic +30 more
TL;DR: It is found that high serum IL-6, IL-8, and TNF- levels at the time of hospitalization were strong and independent predictors of patient survival and death, when adjusting for disease severity score, common laboratory inflammation markers, hypoxia and other vitals, demographics, and a range of comorbidities.