Zobrazeno 1 - 10
of 147
pro vyhledávání: '"S, Haimovich"'
Autor:
Shaan Khurshid, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, Nathaniel Diamant, Jonathan W. Cunningham, Ashby C. Turner, Emily S. Lau, Julian S. Haimovich, Mostafa A. Al-Alusi, Xin Wang, Marcus D. R. Klarqvist, Jeffrey M. Ashburner, Christian Diedrich, Mercedeh Ghadessi, Johanna Mielke, Hanna M. Eilken, Alice McElhinney, Andrea Derix, Steven J. Atlas, Patrick T. Ellinor, Anthony A. Philippakis, Christopher D. Anderson, Jennifer E. Ho, Puneet Batra, Steven A. Lubitz
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-14 (2022)
Abstract Electronic health record (EHR) datasets are statistically powerful but are subject to ascertainment bias and missingness. Using the Mass General Brigham multi-institutional EHR, we approximated a community-based cohort by sampling patients r
Externí odkaz:
https://doaj.org/article/cee0e785728d44acb66d820bf455a8f1
Publikováno v:
Climacteric. :1-6
Autor:
A, Di Spiezio Sardo, G, Saccone, J, Carugno, L A, Pacheco, B, Zizolfi, S, Haimovich, T J, Clark
Publikováno v:
Facts, Views and Vision in ObGyn. 14:103-110
Background: Endometrial cancer is the most common gynaecological neoplasia in western countries. Diagnosis of endometrial cancer requires an endometrial biopsy. A good quality endometrial biopsy allows not only the identification of the pathology, bu
Publikováno v:
Cardiovascular Revascularization Medicine. 39:90-96
Background The Affordable Care Act of 2010 extended health insurance through expansion of Medicaid and subsidies for commercial insurance. Prior work has produced differing results in associating expanded insurance with improvements in health care pr
Autor:
Julian S. Haimovich, Nate Diamant, Shaan Khurshid, Paolo Di Achille, Christopher Reeder, Sam Friedman, Pulkit Singh, Walter Spurlock, Patrick T. Ellinor, Anthony Philippakis, Puneet Batra, Jennifer E. Ho, Steven A. Lubitz
Publikováno v:
Cardiovasc Digit Health J
BACKGROUND: Differentiating among cardiac diseases associated with left ventricular hypertrophy (LVH) informs diagnosis and clinical care. OBJECTIVE: To evaluate if artificial intelligence–enabled analysis of the 12-lead electrocardiogram (ECG) fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf500470709b5ccc605c3710c91e044
https://europepmc.org/articles/PMC10123506/
https://europepmc.org/articles/PMC10123506/
Autor:
Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, Shu-Xia Li, Sanket S Dhruva, Julian S Haimovich, Yongfei Wang, Wade L Schulz, Jeffrey M Testani, Francis P Wilson, Carlos I Mena, Frederick A Masoudi, John S Rumsfeld, John A Spertus, Bobak J Mortazavi, Harlan M Krumholz
Publikováno v:
PLoS Medicine, Vol 15, Iss 11, p e1002703 (2018)
BACKGROUND:The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression tec
Externí odkaz:
https://doaj.org/article/cd25e4f0dda144fe851a4f301b40b8c2
Publikováno v:
Clínica e Investigación en Ginecología y Obstetricia. 50:100853
Autor:
Julian S Haimovich, Arjun K Venkatesh, Abbas Shojaee, Andreas Coppi, Frederick Warner, Shu-Xia Li, Harlan M Krumholz
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0172049 (2017)
Identifying temporal variation in hospitalization rates may provide insights about disease patterns and thereby inform research, policy, and clinical care. However, the majority of medical conditions have not been studied for their potential seasonal
Externí odkaz:
https://doaj.org/article/03af9661d4ba414f937e053d51305ae9
Autor:
Julian S. Haimovich, Ludovic Trinquart, Jennifer L. Halford, Lu-Chen Weng, Emelia J. Benjamin, Steven A. Lubitz, Patrick T. Ellinor, David D. McManus, Shaan Khurshid, Mostafa A. Al-Alusi
Publikováno v:
European Heart Journal. 42:2472-2483
Aims Physical activity may be an important modifiable risk factor for atrial fibrillation (AF), but associations have been variable and generally based on self-reported activity. Methods and results We analysed 93 669 participants of the UK Biobank p
Autor:
Mostafa A. Al-Alusi, Jeffrey M. Ashburner, Derix A, Mielke J, Cunningham Jw, Shaan Khurshid, Diedrich C, Patrick T. Ellinor, Pulkit Singh, Ashby C Turner, Nathaniel Diamant, Lia X. Harrington, Jennifer E. Ho, Klarqvist, Samuel Friedman, McElhinney A, Eilken Hm, Xinbang Wang, Ghadessi M, Christopher Reeder, Christopher D. Anderson, Steven J. Atlas, S. A. Lubitz, Lau Es, Paolo Di Achille, Anthony A. Philippakis, Puneet Batra, Sarma G, Julian S. Haimovich
BackgroundElectronic health records (EHRs) promise to enable broad-ranging discovery with power exceeding that of conventional research cohort studies. However, research using EHR datasets may be subject to selection bias, which can be compounded by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8daef46e0e8841112c868019463e43e
https://doi.org/10.1101/2021.05.26.21257872
https://doi.org/10.1101/2021.05.26.21257872