Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Suchi Saria"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e47125 (2024)
BackgroundThe adoption of predictive algorithms in health care comes with the potential for algorithmic bias, which could exacerbate existing disparities. Fairness metrics have been proposed to measure algorithmic bias, but their application to real-
Externí odkaz:
https://doaj.org/article/607250ab17a7431db848db1ab56d3c23
Publikováno v:
BMJ Open, Vol 14, Iss 4 (2024)
Objective To predict the risk of hospital-acquired pressure injury using machine learning compared with standard care.Design We obtained electronic health records (EHRs) to structure a multilevel cohort of hospitalised patients at risk for pressure i
Externí odkaz:
https://doaj.org/article/2c0427fb6599404fa32a51e9db206b87
Autor:
Katharine E. Henry, Rachel Kornfield, Anirudh Sridharan, Robert C. Linton, Catherine Groh, Tony Wang, Albert Wu, Bilge Mutlu, Suchi Saria
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-6 (2022)
Abstract While a growing number of machine learning (ML) systems have been deployed in clinical settings with the promise of improving patient care, many have struggled to gain adoption and realize this promise. Based on a qualitative analysis of cod
Externí odkaz:
https://doaj.org/article/18971cc9ef9a42c98df7a39061b2c87b
Autor:
Aamir Javaid, Fawzi Zghyer, Chang Kim, Erin M. Spaulding, Nino Isakadze, Jie Ding, Daniel Kargillis, Yumin Gao, Faisal Rahman, Donald E. Brown, Suchi Saria, Seth S. Martin, Christopher M. Kramer, Roger S. Blumenthal, Francoise A. Marvel
Publikováno v:
American Journal of Preventive Cardiology, Vol 12, Iss , Pp 100379- (2022)
Machine learning (ML) refers to computational algorithms that iteratively improve their ability to recognize patterns in data. The digitization of our healthcare infrastructure is generating an abundance of data from electronic health records, imagin
Externí odkaz:
https://doaj.org/article/f3b9425e62fa4e3e80228c64f9544c9c
Autor:
Emma Bigelow, Suchi Saria, Brian Piening, Brendan Curti, Alexa Dowdell, Roshanthi Weerasinghe, Carlo Bifulco, Walter Urba, Noam Finkelstein, Elana J Fertig, Alex Baras, Neeha Zaidi, Elizabeth Jaffee, Mark Yarchoan
Publikováno v:
Cancer Informatics, Vol 21 (2022)
Tumor mutational burden (TMB), a surrogate for tumor neoepitope burden, is used as a pan-tumor biomarker to identify patients who may benefit from anti-program cell death 1 (PD1) immunotherapy, but it is an imperfect biomarker. Multiple additional ge
Externí odkaz:
https://doaj.org/article/5bbf36839b37402ab474076c76e37c58
Publikováno v:
Digital Biomarkers, Vol 5, Iss 3, Pp 216-223 (2021)
The assessment of health and disease requires a set of criteria to define health status and progression. These health measures are referred to as “endpoints.” A “digital endpoint” is defined by its use of sensor-generated data often collected
Externí odkaz:
https://doaj.org/article/7b8a60c189394032b44edaab79a97880
Autor:
Suchi Saria, PhD, Peter Schulam, PhD, Brian J. Yeh, PhD, Daniel Burke, MD, MBA, Sean D. Mooney, PhD, Christine T. Fong, MS, Jacob E. Sunshine, MD, Dustin R. Long, MD, Vikas N. O’Reilly-Shah, MD, PhD
Publikováno v:
Critical Care Explorations, Vol 3, Iss 6, p e0441 (2021)
OBJECTIVES:. To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management. DESI
Externí odkaz:
https://doaj.org/article/50c7d4dd6f1a466aaec3bc502bb1227d
Autor:
Hong J. Kan, Kirill Dyagilev, Peter Schulam, Suchi Saria, Hadi Kharrazi, David Bodycombe, Charles T. Molta, Jeffrey R. Curtis
Publikováno v:
Arthritis Research & Therapy, Vol 20, Iss 1, Pp 1-12 (2018)
Abstract Background This study estimated the extent and predictors of primary nonadherence (i.e., prescriptions made by physicians but not initiated by patients) to methotrexate and to biologics or tofacitinib in rheumatoid arthritis (RA) patients wh
Externí odkaz:
https://doaj.org/article/a956dbfba0914a4ea36cdc2637bd19ff
Publikováno v:
PLoS Medicine, Vol 15, Iss 12, p e1002721 (2018)
Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.
Externí odkaz:
https://doaj.org/article/d510aba890ac4ce0b993fbc89eeaa38a
Autor:
Harpreet Singh, Satoshi Kusuda, Ryan M. McAdams, Shubham Gupta, Jayant Kalra, Ravneet Kaur, Ritu Das, Saket Anand, Ashish Kumar Pandey, Su Jin Cho, Satish Saluja, Justin J. Boutilier, Suchi Saria, Jonathan Palma, Avneet Kaur, Gautam Yadav, Yao Sun
Publikováno v:
Children, Vol 8, Iss 1, p 1 (2020)
Our objective in this study was to determine if machine learning (ML) can automatically recognize neonatal manipulations, along with associated changes in physiological parameters. A retrospective observational study was carried out in two Neonatal I
Externí odkaz:
https://doaj.org/article/3725c507bb0c4efe9ca288112cfeb8fb