Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Adler J. Perotte"'
Autor:
Pierre Elias, Timothy J. Poterucha, Vijay Rajaram, Luca Matos Moller, Victor Rodriguez, Shreyas Bhave, Rebecca T. Hahn, Geoffrey Tison, Sean A. Abreau, Joshua Barrios, Jessica Nicole Torres, J. Weston Hughes, Marco V. Perez, Joshua Finer, Susheel Kodali, Omar Khalique, Nadira Hamid, Allan Schwartz, Shunichi Homma, Deepa Kumaraiah, David J. Cohen, Mathew S. Maurer, Andrew J. Einstein, Tamim Nazif, Martin B. Leon, Adler J. Perotte
Publikováno v:
Journal of the American College of Cardiology. 80:613-626
Valvular heart disease is an important contributor to cardiovascular morbidity and mortality and remains underdiagnosed. Deep learning analysis of electrocardiography (ECG) may be useful in detecting aortic stenosis (AS), aortic regurgitation (AR), a
Autor:
Patricia C. Dykes, Chris Knaplund, Min-Jeoung Kang, Sarah Collins Rossetti, Adler J. Perotte, Kenrick Cato, Li-heng Fu, David J. Albers
Publikováno v:
J Am Med Inform Assoc
Objective To propose an algorithm that utilizes only timestamps of longitudinal electronic health record data to classify clinical deterioration events. Materials and methods This retrospective study explores the efficacy of machine learning algorith
Autor:
Karthik Natarajan, Kristen L. King, Shana M. Coley, Adler J. Perotte, Sumit Mohan, S. Ali Husain
Publikováno v:
Transpl Int
Unfavourable procurement biopsy findings are the most common reason for deceased donor kidney discard in the United States. We sought to assess the association between biopsy findings and post-transplant outcomes when donor characteristics are accoun
Autor:
Timothy J. Poterucha, Sabahat Bokhari, Jan M. Griffin, Mathew S. Maurer, Adler J. Perotte, Sunil E. Saith, Lynne L. Johnson, Andrew J. Einstein, Mona Kinkhabwala, Kathleen R Flaherty, Albert DeLuca, Pierre Elias
Publikováno v:
JACC: Cardiovascular Imaging. 14:1221-1231
Objectives This study aimed to characterize trends in technetium Tc 99m pyrophosphate (99mTc-PYP) scanning for amyloid transthyretin cardiac amyloidosis (ATTR-CA) diagnosis, to determine whether patients underwent appropriate assessment with monoclon
Autor:
Robin B Chan, Adler J Perotte, Bowen Zhou, Christopher Liong, Evan J Shorr, Karen S Marder, Un J Kang, Cheryl H Waters, Oren A Levy, Yimeng Xu, Hong Bin Shim, Itsik Pe'er, Gilbert Di Paolo, Roy N Alcalay
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0172348 (2017)
Parkinson's disease (PD) is a common neurodegenerative disease whose pathological hallmark is the accumulation of intracellular α-synuclein aggregates in Lewy bodies. Lipid metabolism dysregulation may play a significant role in PD pathogenesis; how
Externí odkaz:
https://doaj.org/article/229bf546651a48238114c80ec3d06c0f
Publikováno v:
J Am Med Inform Assoc
ObjectiveThe study sought to develop and evaluate a knowledge-based data augmentation method to improve the performance of deep learning models for biomedical natural language processing by overcoming training data scarcity.Materials and MethodsWe ex
Autor:
R. John Crew, David J. Cohen, Shana M. Coley, Dustin Carpenter, Glen S. Markowitz, Isaac E. Hall, Vivette D. D'Agati, Lloyd E. Ratner, S. Ali Husain, Geoffrey K. Dube, Adler J. Perotte, Vaqar H. Shah, Dominick Santoriello, Hector Alvarado Verduzco, Corey Brennan, Sumit Mohan, Ibrahim Batal, P. Rodrigo Sandoval, Kristen L. King, Karthik Natarajan, M. Barry Stokes
Publikováno v:
Kidney International Reports
Introduction The factors that influence deceased donor kidney procurement biopsy reliability are not well established. We examined the impact of biopsy technique and pathologist training on procurement biopsy accuracy. Methods We retrospectively iden
Publikováno v:
JAMIA Open
IntroductionThe opioid epidemic is a modern public health emergency. Common interventions to alleviate the opioid epidemic aim to discourage excessive prescription of opioids. However, these methods often take place over large municipal areas (state-
Publikováno v:
J Am Med Inform Assoc
Clinical notes present a wealth of information for applications in the clinical domain, but heterogeneity across clinical institutions and settings presents challenges for their processing. The clinical natural language processing field has made stri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc02c4ef24f7d3f8e1ea2be4710dc7ed
https://europepmc.org/articles/PMC8363791/
https://europepmc.org/articles/PMC8363791/
Publikováno v:
Adv Neural Inf Process Syst
Survival analysis models the distribution of time until an event of interest, such as discharge from the hospital or admission to the ICU. When a model’s predicted number of events within any time interval is similar to the observed number, it is c