Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Davina Zamanzadeh"'
Autor:
Davina Zamanzadeh, Jeffrey Feng, Panayiotis Petousis, Arvind Vepa, Majid Sarrafzadeh, S. Ananth Karumanchi, Alex A. T. Bui, Ira Kurtz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Continuous renal replacement therapy (CRRT) is a form of dialysis prescribed to severely ill patients who cannot tolerate regular hemodialysis. However, as the patients are typically very ill to begin with, there is always uncertainty whethe
Externí odkaz:
https://doaj.org/article/e5fb0fef039340298cd81bd24ce0e8f4
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
We present a novel approach for imputing missing data that incorporates temporal information into bipartite graphs through an extension of graph representation learning. Missing data is abundant in several domains, particularly when observations are
Externí odkaz:
https://doaj.org/article/d0f20ea38ff74ce6bbf07b91c95311f4
Autor:
Melissa S. Wong, Matthew Wells, Davina Zamanzadeh, Samir Akre, Joshua M. Pevnick, Alex A.T. Bui, Kimberly D. Gregory
Publikováno v:
American journal of perinatology.
This study aimed to develop and validate a machine learning (ML) model to predict the probability of a vaginal delivery (Partometer) using data iteratively obtained during labor from the electronic health record. A retrospective cohort study of deliv
Autor:
Chandra L. Ford, Bita Amani, Nina T. Harawa, Randall Akee, Gilbert C. Gee, Majid Sarrafzadeh, Consuela Abotsi-Kowu, Shayan Fazeli, Cindy Le, Ezinne Nwankwo, Davina Zamanzadeh, Anaelia Ovalle, Monica L. Ponder
Publikováno v:
International journal of environmental research and public health, vol 18, iss 24
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 13099, p 13099 (2021)
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 18, Iss 13099, p 13099 (2021)
The populations impacted most by COVID are also impacted by racism and related social stigma; however, traditional surveillance tools may not capture the intersectionality of these relationships. We conducted a detailed assessment of diverse surveill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856167c48112158535a0b1839ad8e3cb
https://escholarship.org/uc/item/2dj656n5
https://escholarship.org/uc/item/2dj656n5
Publikováno v:
QRS
Fuzzers are important bug-finding tools in both academia and industry. To ensure scientific progress, we need a metric for fuzzer comparison. Bug-based metrics are impractical because (1) the definition of "bug" is vague, and (2) mapping bug-revealin
Autor:
Lisa Valencia, Majid Sarrafzadeh, Rima Habre, Anahita Hosseini, Alex A. T. Bui, Davina Zamanzadeh
Publikováno v:
EMBC
Among the major challenges in training predictive models in wireless health, is adapting them to new individuals or groups of people. This is not trivial largely due to possible differences in the distribution of data between a new individual in a re