Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sarah I Collens"'
Autor:
Wendong Ge, Haitham Alabsi, Aayushee Jain, Elissa Ye, Haoqi Sun, Marta Fernandes, Colin Magdamo, Ryan A Tesh, Sarah I Collens, Amy Newhouse, Lidia MVR Moura, Sahar Zafar, John Hsu, Oluwaseun Akeju, Gregory K Robbins, Shibani S Mukerji, Sudeshna Das, M Brandon Westover
Publikováno v:
JMIR Formative Research, Vol 6, Iss 6, p e33834 (2022)
BackgroundDelirium in hospitalized patients is a syndrome of acute brain dysfunction. Diagnostic (International Classification of Diseases [ICD]) codes are often used in studies using electronic health records (EHRs), but they are inaccurate. Object
Externí odkaz:
https://doaj.org/article/bb6606f0948349e6b2113cfa0a866124
Autor:
Sarah I. Collens, Shibani S. Mukerji, Geraldine S. Pinkus, Robert F. Padera, Anthony A. Amato, Isaac H. Solomon, Joome Suh
Publikováno v:
Neurology. 97:e849-e858
ObjectiveTo explore the spectrum of skeletal muscle and nerve pathology of patients who died after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and to assess for direct viral invasion of these tissues.MethodsPsoas muscle and
Autor:
Marta B. Fernandes, Navid Valizadeh, Haitham S. Alabsi, Syed A. Quadri, Ryan A. Tesh, Abigail A. Bucklin, Haoqi Sun, Aayushee Jain, Laura N. Brenner, Elissa Ye, Wendong Ge, Sarah I. Collens, Stacie Lin, Sudeshna Das, Gregory K. Robbins, Sahar F. Zafar, Shibani S. Mukerji, M. Brandon Westover
Publikováno v:
Expert Systems with Applications. 214:119171
Autor:
Elissa Ye, Lawrence W. Stratton, Jayashree Kalpathy-Cramer, Yu Ping Shao, Jonathan Rosand, Wolfgang Ganglberger, James B. Meigs, Jacqueline T. Chu, Shibani S. Mukerji, M. Brandon Westover, Christine L. Boutros, Haitham Alabsi, Ingrid V. Bassett, Wendong Ge, Sarah I. Collens, Haoqi Sun, Ryan A. Tesh, Bruce Fischl, Ruopeng Wang, Laura N. Brenner, Matthew D. Li, Gregory K. Robbins, Michael Dougan, Aayushee Jain, Colin Magdamo, Sudeshna Das, Michael J. Leone
Publikováno v:
The Journal of Infectious Diseases
Background We sought to develop an automatable score to predict hospitalization, critical illness, or death for patients at risk for coronavirus disease 2019 (COVID-19) presenting for urgent care. Methods We developed the COVID-19 Acuity Score (CoVA)
Autor:
Mary D. Maher, Vivian Paraskevi Douglas, Konstantinos A.A. Douglas, Sarah I. Collens, Aubrey L. Gilbert, Nurhan Torun, Joshua P. Klein, Lucia Sobrin, Bradley R. Buchbinder, Rajiv Gupta, Shibani S. Mukerji, Bart K. Chwalisz
Publikováno v:
Journal of the neurological sciences. 437
To investigate the clinical and magnetic resonance imaging (MRI) characteristics of patients with varicella zoster virus (VZV) reactivation involving the cranial nerves and central nervous system (CNS).This is a retrospective, multi-center case-serie
Autor:
Wendong Ge, Haitham Alabsi, Aayushee Jain, Elissa Ye, Haoqi Sun, Marta Fernandes, Colin Magdamo, Ryan A Tesh, Sarah I Collens, Amy Newhouse, Lidia MVR Moura, Sahar Zafar, John Hsu, Oluwaseun Akeju, Gregory K Robbins, Shibani S Mukerji, Sudeshna Das, M Brandon Westover
BACKGROUND Delirium in hospitalized patients is a syndrome of acute brain dysfunction. Diagnostic (International Classification of Diseases [ICD]) codes are often used in studies using electronic health records (EHRs), but they are inaccurate. OBJECT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e04bed2ad86cd2df4b68a2111b78f357
https://doi.org/10.2196/preprints.33834
https://doi.org/10.2196/preprints.33834
Autor:
Shibani S. Mukerji, Sudeshna Das, Haitham Alabsi, Laura N. Brenner, Aayushee Jain, Colin Magdamo, Sarah I. Collens, Elissa Ye, Kiana Keller, Christine L. Boutros, Michael J. Leone, Amy Newhouse, Brody Foy, Matthew D. Li, Min Lang, Melis N. Anahtar, Yu-Ping Shao, Wendong Ge, Haoqi Sun, Virginia A. Triant, Jayashree Kalpathy-Cramer, John Higgins, Jonathan Rosand, Gregory K. Robbins, M. Brandon Westover
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Frontiers in Neurology
Frontiers in Neurology
Objectives: Patients with comorbidities are at increased risk for poor outcomes in COVID-19, yet data on patients with prior neurological disease remains limited. Our objective was to determine the odds of critical illness and duration of mechanical
Autor:
Marta Fernandes, Haoqi Sun, Aayushee Jain, Haitham S Alabsi, Laura N Brenner, Elissa Ye, Wendong Ge, Sarah I Collens, Michael J Leone, Sudeshna Das, Gregory K Robbins, Shibani S Mukerji, M Brandon Westover
BACKGROUND Medical notes are a rich source of patient data; however, the nature of unstructured text has largely precluded the use of these data for large retrospective analyses. Transforming clinical text into structured data can enable large-scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e48441f84c260e1f88b2bf84def72a5
https://doi.org/10.2196/preprints.25457
https://doi.org/10.2196/preprints.25457
Autor:
Haitham Alabsi, Marta Fernandes, Laura N. Brenner, Gregory K. Robbins, Shibani S. Mukerji, Michael J. Leone, Sarah I. Collens, Elissa Ye, M. Brandon Westover, Haoqi Sun, Aayushee Jain, Sudeshna Das, Wendong Ge
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 9, Iss 2, p e25457 (2021)
JMIR Medical Informatics, Vol 9, Iss 2, p e25457 (2021)
Background Medical notes are a rich source of patient data; however, the nature of unstructured text has largely precluded the use of these data for large retrospective analyses. Transforming clinical text into structured data can enable large-scale
Autor:
Wolfgang Ganglberger, Sarah I. Collens, Jacqueline T. Chu, Matthew D. Li, Gregory K. Robbins, Colin Magdamo, Bruce Fischl, Lawrence W. Stratton, Michael J. Leone, Ryan A. Tesh, Aayushee Jain, Christine L. Boutros, Shibani S. Mukerji, Ruopeng Wang, James B. Meigs, Yu-Ping Shao, M. Brandon Westover, Haoqi Sun, Wendong Ge, Haitham Alabsi, Sudeshna Das, Ingrid V. Bassett, Laura N. Brenner, Michael Dougan, Jayashree Kalpathy-Cramer, Elissa Ye, Jonathan Rosand
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
BackgroundWe sought to develop an automatable score to predict hospitalization, critical illness, or death in patients at risk for COVID-19 presenting for urgent care during the Massachusetts outbreak.MethodsSingle-center study of adult outpatients s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49a154c259d1631dceea09eade148454