Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Abigail Green-Saxena"'
Autor:
Sina Ghandian, Rahul Thapa, Anurag Garikipati, Gina Barnes, Abigail Green‐Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das
Publikováno v:
JGH Open, Vol 6, Iss 3, Pp 196-204 (2022)
Abstract Background Non‐alcoholic fatty liver (NAFL) can progress to the severe subtype non‐alcoholic steatohepatitis (NASH) and/or fibrosis, which are associated with increased morbidity, mortality, and healthcare costs. Current machine learning
Externí odkaz:
https://doaj.org/article/012e31c984c14a7e9a73669a6a2b49c1
Autor:
Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of
Externí odkaz:
https://doaj.org/article/8b37acccc4874a159454be0cf2d4bc26
Autor:
Jenish Maharjan, Yasha Ektefaie, Logan Ryan, Samson Mataraso, Gina Barnes, Sepideh Shokouhi, Abigail Green-Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das
Publikováno v:
Frontiers in Neurology, Vol 12 (2022)
BackgroundStrokes represent a leading cause of mortality globally. The evolution of developing new therapies is subject to safety and efficacy testing in clinical trials, which operate in a limited timeframe. To maximize the impact of these trials, p
Externí odkaz:
https://doaj.org/article/cd082d3068cb43f6b5912879684d125f
Autor:
Abigail Green-Saxena, Jana Hoffman, Ritankar Das, Qingqing Mao, Angier Allen, Zohora Iqbal, Myrna Hurtado
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 10, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/a1fd188814d4412b841de837e06b5934
Autor:
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
Publikováno v:
JMIR Formative Research, Vol 5, Iss 9, p e28028 (2021)
BackgroundA high number of patients who are hospitalized with COVID-19 develop acute respiratory distress syndrome (ARDS). ObjectiveIn response to the need for clinical decision support tools to help manage the next pandemic during the early stages
Externí odkaz:
https://doaj.org/article/6be211ea53aa4a1aa73a73762213ce5b
Autor:
Logan Ryan BS, Samson Mataraso BS, Anna Siefkas SM, Emily Pellegrini MEng, Gina Barnes MPH, Abigail Green-Saxena PhD, Jana Hoffman PhD, Jacob Calvert MSc, Ritankar Das MSc
Publikováno v:
Clinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)
Deep venous thrombosis (DVT) is associated with significant morbidity, mortality, and increased healthcare costs. Standard scoring systems for DVT risk stratification often provide insufficient stratification of hospitalized patients and are unable t
Externí odkaz:
https://doaj.org/article/8db98f4eaf144840ba43067813e38ad1
Autor:
Jonathan Roberts, Andrea Mccoy, Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Sidney Le, Joseph Slote, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das
Publikováno v:
BMJ Health & Care Informatics, Vol 27, Iss 1 (2020)
Background Severe sepsis and septic shock are among the leading causes of death in the USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis remains one of the most expensive conditions to diagnose and treat.Objecti
Externí odkaz:
https://doaj.org/article/468470960701428b8e3a44aa970ec1f5
Autor:
Qingqing Mao, Abigail Green-Saxena, Jacob Calvert, Andrea McCoy, Jana Hoffman, Ritankar Das, Jenish Maharjan, Emily Pellegrini
Publikováno v:
Clinical Imaging
Introduction Posteroanterior chest X-rays (CXRs) are recommended over computed tomography scans for COVID-19 diagnosis, as CXRs can be obtained with relatively low risk of facility contamination. The objective of this study was to assess seven config
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68d77609a0c77401336fe6ac9e8138f0
https://doi.org/10.1016/j.clinimag.2021.07.004
https://doi.org/10.1016/j.clinimag.2021.07.004
Autor:
Emily Pellegrini, Jana Hoffman, Charlotte Summers, Abigail Green-Saxena, Sidney Le, Ritankar Das, Jacob Calvert
Publikováno v:
Journal of Critical Care. 60:96-102
PurposeAcute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mortality and associated morbidity. The objective of this study is to develop and evaluate a novel application of gradient boosted tree models trained on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3637f7f6ec1ad8ccce9c74dd63d1aa08
https://doi.org/10.1016/j.jcrc.2020.07.019
https://doi.org/10.1016/j.jcrc.2020.07.019
Autor:
Logan Ryan, Abigail Green-Saxena, Emily Pellegrini, Carson Lam, Jana Hoffman, Angier Allen, Andrea McCoy, Samson Mataraso, Christopher Barton, Ritankar Das
Publikováno v:
Annals of Medicine and Surgery
Rationale Prediction of patients at risk for mortality can help triage patients and assist in resource allocation. Objectives Develop and evaluate a machine learning-based algorithm which accurately predicts mortality in COVID-19, pneumonia, and mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::584eec43aa51987b46e5077cf7f19849
https://doi.org/10.1016/j.amsu.2020.09.044
https://doi.org/10.1016/j.amsu.2020.09.044