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:
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)
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
Externí odkaz:
https://doaj.org/article/ce76bda852174f538733f7dccaed55f2
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ea77535e6c80cf5c0b3a28fccb84b7
https://doi.org/10.1212/wnl.0000000000012344
https://doi.org/10.1212/wnl.0000000000012344
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)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a6f4672fec25c7c2c324051b516ddc
https://doi.org/10.1093/infdis/jiaa663
https://doi.org/10.1093/infdis/jiaa663
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cfd76caead4e27983cb8211d6ef1737
https://doi.org/10.1016/j.eswa.2022.119171
https://doi.org/10.1016/j.eswa.2022.119171
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa382bb3ff8122d59b350b5fd196bf2
https://pubmed.ncbi.nlm.nih.gov/35489173
https://pubmed.ncbi.nlm.nih.gov/35489173
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:
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d456cee38663d24c7ea759b3ab15a9b9
https://pubmed.ncbi.nlm.nih.gov/33449908
https://pubmed.ncbi.nlm.nih.gov/33449908
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