Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Adler, Perotte"'
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
Abstract Randomized controlled trials (RCTs) are regarded as the most reputable source of evidence. In some studies, factors beyond the intervention itself may contribute to the measured effect, an occurrence known as heterogeneity of treatment effec
Externí odkaz:
https://doaj.org/article/f2941ae407db4ad197e6d29fe2663bf3
Autor:
Tian Kang, Yingcheng Sun, Jae Hyun Kim, Casey Ta, Adler Perotte, Kayla Schiffer, Mutong Wu, Yang Zhao, Nour Moustafa-Fahmy, Yifan Peng, Chunhua Weng
Publikováno v:
Journal of the American Medical Informatics Association. 30:1022-1031
Objective To develop a computable representation for medical evidence and to contribute a gold standard dataset of annotated randomized controlled trial (RCT) abstracts, along with a natural language processing (NLP) pipeline for transforming free-te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f688efe0f8a7c17fd15bb0701ae3c3
https://doi.org/10.1093/jamia/ocad036
https://doi.org/10.1093/jamia/ocad036
Autor:
Timothy J. Poterucha, Pierre Elias, Sneha S. Jain, Gabriel Sayer, Bjorn Redfors, Daniel Burkhoff, Hannah Rosenblum, Ersilia M. DeFilippis, Aakriti Gupta, Matthew Lawlor, Mahesh V. Madhavan, Jan Griffin, Jayant Raikhelkar, Justin Fried, Kevin J. Clerkin, Andrea Kim, Adler Perotte, Mathew S. Maurer, Deepak Saluja, José Dizon, Frederick A. Ehlert, John P. Morrow, Hirad Yarmohammadi, Angelo B. Biviano, Hasan Garan, LeRoy Rabbani, Martin B Leon, Allan Schwartz, Nir Uriel, Elaine Y. Wan
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 1 (2021)
Background Cardiovascular involvement in coronavirus disease 2019 (COVID‐19) is common and leads to worsened mortality. Diagnostic cardiovascular studies may be helpful for resource appropriation and identifying patients at increased risk for death
Externí odkaz:
https://doaj.org/article/7b60e37c6e2842d589229a7438ad7be9
Autor:
Jacob S Stevens, Kristen L King, Shelief Y Robbins-Juarez, Pascale Khairallah, Katherine Toma, Hector Alvarado Verduzco, Emily Daniel, Denzil Douglas, Andrew A Moses, Yonatan Peleg, Piotr Starakiewicz, Miah T Li, Daniel W Kim, Kathleen Yu, Long Qian, Vaqar H Shah, Max R O'Donnell, Matthew J Cummings, Jason Zucker, Karthik Natarajan, Adler Perotte, Demetra Tsapepas, Kiryluk Krzysztof, Geoffrey Dube, Eric Siddall, Shayan Shirazian, Thomas L Nickolas, Maya K Rao, Jonathan M Barasch, Anthony M Valeri, Jai Radhakrishnan, Ali G Gharavi, S Ali Husain, Sumit Mohan
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0244131 (2020)
IntroductionA large proportion of patients with COVID-19 develop acute kidney injury (AKI). While the most severe of these cases require renal replacement therapy (RRT), little is known about their clinical course.MethodsWe describe the clinical char
Externí odkaz:
https://doaj.org/article/bc2672274f42414f94fc79b3125d70d5
Publikováno v:
Am J Transplant
Deceased donor kidney allocation follows a ranked match-run of potential recipients. Organ procurement organizations (OPOs) are permitted to deviate from the mandated match-run in exceptional circumstances. Using match-run data for all deceased donor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cea03087aa6079acc2dc252e3459889e
https://europepmc.org/articles/PMC9081167/
https://europepmc.org/articles/PMC9081167/
Autor:
Timothy J Poterucha, Pierre Elias, Rebecca T Hahn, Tamim Nazif, Mathew S Maurer, Andrew J Einstein, Martin B Leon, Adler Perotte, David J Cohen
Publikováno v:
Circulation. 144
Background: Valvular heart disease (VHD) is an important contributor to CVD morbidity and mortality. The ValveNet model uses deep learning analysis of ECGs to detect moderate or severe left sided valve disease (LSVDz) including aortic stenosis (AS),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53542632979a876b4ece50d7df11c175
https://doi.org/10.1161/circ.144.suppl_1.9735
https://doi.org/10.1161/circ.144.suppl_1.9735
Diagnosing Transthyretin Cardiac Amyloidosis by Technetium Tc 99m Pyrophosphate: A Test in Evolution
Autor:
Timothy J, Poterucha, Pierre, Elias, Sabahat, Bokhari, Andrew J, Einstein, Albert, DeLuca, Mona, Kinkhabwala, Lynne L, Johnson, Kathleen R, Flaherty, Sunil E, Saith, Jan M, Griffin, Adler, Perotte, Mathew S, Maurer
Publikováno v:
JACC. Cardiovascular imaging. 14(6)
This study aimed to characterize trends in technetium Tc 99m pyrophosphate (Patients undergoingOver the decade, endomyocardial biopsy rates remained stable with scanning rates peaking at 132 in 2019 (p 0.001). Among 753 patients (516 men, mean age 77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::414697d3f81465769764a6f37679c8e6
https://pubmed.ncbi.nlm.nih.gov/33221210
https://pubmed.ncbi.nlm.nih.gov/33221210
Autor:
Victor A, Rodriguez, Adler, Perotte
Publikováno v:
Proc Mach Learn Res
Disease phenotyping algorithms are designed to sift through clinical data stores to identify patients with specific diseases. Supervised phenotyping methods require significant quantities of expert-labeled data, while unsupervised methods may learn s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a94e37c0d0c351e4940ddecf762eff09
https://pubmed.ncbi.nlm.nih.gov/32490377
https://pubmed.ncbi.nlm.nih.gov/32490377
Autor:
Jan, Claassen, Adler, Perotte, David, Albers, Samantha, Kleinberg, J Michael, Schmidt, Bin, Tu, Neeraj, Badjatia, Hector, Lantigua, Lawrence J, Hirsch, Stephan A, Mayer, E Sander, Connolly, George, Hripcsak
Publikováno v:
Annals of neurology. 74(1)
Seizures have been implicated as a cause of secondary brain injury, but the systemic and cerebral physiologic effects of seizures after acute brain injury are poorly understood.We analyzed intracortical electroencephalographic (EEG) and multimodality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f5920c44211d7befa47e9dbbd5763477
https://pubmed.ncbi.nlm.nih.gov/23813945
https://pubmed.ncbi.nlm.nih.gov/23813945