Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Adee Kennedy"'
Publikováno v:
Journal of Health Economics and Outcomes Research, Vol 11, Iss 2 (2024)
**Background:** Individuals with type 2 diabetes (T2D) show high risk of heart failure (HF). Left ventricular ejection fraction is a major factor for disease progression. In Germany, no recent longitudinal data are available. **Objectives:** To (1) m
Externí odkaz:
https://doaj.org/article/958e5c70334341e6930267714d29cfd2
Autor:
Elizabeth Benito-Garcia, Julio Vega, Eric J Daza, Wei-Nchih Lee, Adee Kennedy, Jean-Marc Chantelot
Publikováno v:
JMIR Formative Research, Vol 7, p e47145 (2023)
BackgroundCollaboration between people with type 2 diabetes (T2DM) and their health care teams is important for optimal control of the disease and outcomes. Digital technologies could potentially tie together several health care-related devices and p
Externí odkaz:
https://doaj.org/article/f0eb65ef378c4c85b51ff650ca40cb40
Autor:
Dena M. Carbonari, Judith C. Maro, Adee Kennedy, Jolene Damon, Gaia Pocobelli, Vincent Lo Re, Lauren E. Parlett, Michael D. Nguyen, Charles E. Leonard, David J. Graham, Jerry Jacob, Vinit P. Nair, Esther H. Zhou, Jennifer G. Lyons, Mano S. Selvan, Yunping Zhou, Nicole Haug, William R. Short, Cheryl N. McMahill-Walraven
Publikováno v:
Pharmacoepidemiology and Drug Safety. 30:899-909
Purpose Identifying hospitalizations for serious infections among patients dispensed biologic therapies within healthcare databases is important for post-marketing surveillance of these drugs. We determined the positive predictive value (PPV) of an I
Autor:
David S Carrell, Susan Gruber, James S Floyd, Maralyssa A Bann, Kara L Cushing-Haugen, Ron L Johnson, Vina Graham, David J Cronkite, Brian L Hazlehurst, Andrew H Felcher, Cosmin A Bejan, Adee Kennedy, Mayura U Shinde, Sara Karami, Yong Ma, Danijela Stojanovic, Yueqin Zhao, Robert Ball, Jennifer C Nelson
Publikováno v:
American journal of epidemiology.
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using data on 516 pa
Autor:
Lesley H. Curtis, Adee Kennedy, Heba Ismail, Candace C. Fuller, Margaret Johnson, Russell E. Poland, Vinod E. Nambudiri, Austin Cosgrove, Richard M. Kaufman, Karla M Miller, Kimberly Smith, Jason Hickok, Meghan A Baker, Robert Rosofsky, David J. Mohlman, Stacey Honda, Mayura Shinde, Salim Surani, Caren Spencer-Smith
Publikováno v:
Transfusion
INTRODUCTION Transfusion-related acute lung injury (TRALI), an adverse event occurring during or within 6 hours of transfusion, is a leading cause of transfusion-associated fatalities reported to the US Food and Drug Administration. There is limited
Autor:
Sarah Bloemers, Robert Ball, Frank Yoon, Sengwee Toh, Sai Dharmarajan, Rita Ouellet-Hellstrom, Adee Kennedy, Elande Baro, Timothy A Burrell, Michael D. Nguyen, Cory Pack, Yong Ma, Wei Hua, Jenna Wong, Teresa B. Gibson
Publikováno v:
J Am Med Inform Assoc
Objective Claims-based algorithms are used in the Food and Drug Administration Sentinel Active Risk Identification and Analysis System to identify occurrences of health outcomes of interest (HOIs) for medical product safety assessment. This project a
Autor:
Loreen Straub, Adam Wright, Li Zhou, Judith C. Maro, Margaret Johnson, Shirley V. Wang, Jeffrey S. Brown, Michael D. Nguyen, Joshua J. Gagne, Adee Kennedy, Nicolas Beaulieu
Publikováno v:
Drug safety. 42(9)
While medical chart review remains the gold standard to validate health conditions or events identified in administrative claims and electronic health record databases, it is time consuming, expensive and can involve subjective decisions. The aim of
Autor:
Clara Y. Kim, Yinzhu Jin, Rita Ouellet-Hellstrom, Adee Kennedy, Austin Cosgrove, Shirley V. Wang, Rishi J. Desai, Sengwee Toh, Jacqueline M. Major, Richard Wyss, Justin Bohn, Aaron Niman, Joshua J. Gagne, Jessica Kim, Sara Karami
Publikováno v:
American Journal of Epidemiology.
Use of disease risk score (DRS)-based confounding adjustment when estimating treatment effects on multiple outcomes is not well studied. We designed an empirical cohort study to compare dabigatran initiators and warfarin initiators with respect to ri