Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Harpaz, Rave"'
Federated Learning (FL) is quickly becoming a goto distributed training paradigm for users to jointly train a global model without physically sharing their data. Users can indirectly contribute to, and directly benefit from a much larger aggregate da
Externí odkaz:
http://arxiv.org/abs/2103.07491
Autor:
Harpaz, Rave, DuMouchel, William, Schuemie, Martijn, Bodenreider, Olivier, Friedman, Carol, Horvitz, Eric, Ripple, Anna, Sorbello, Alfred, White, Ryen W., Winnenburg, Rainer, Shah, Nigam H.
Publikováno v:
In Journal of Biomedical Informatics December 2017 76:41-49
Autor:
White, Ryen W., Wang, Sheng, Pant, Apurv, Harpaz, Rave, Shukla, Pushpraj, Sun, Walter, DuMouchel, William, Horvitz, Eric
Publikováno v:
In Journal of Biomedical Informatics February 2016 59:42-48
Autor:
Winnenburg, Rainer, Sorbello, Alfred, Ripple, Anna, Harpaz, Rave, Tonning, Joseph, Szarfman, Ana, Francis, Henry, Bodenreider, Olivier
Publikováno v:
In Journal of Biomedical Informatics October 2015 57:425-435
Akademický článek
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Publikováno v:
BMC Bioinformatics, Vol 11, Iss Suppl 9, p S7 (2010)
Abstract Background Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in pharmacovigilance is bivariate association analysis, where each single drug-adv
Externí odkaz:
https://doaj.org/article/5fbf6f4bf79446e8ab40274e8a5b1a22
Autor:
Vilar, Santiago1,2 sav7003@dbmi.columbia.edu, Harpaz, Rave1, Santana, Lourdes2, Uriarte, Eugenio2, Friedman, Carol1
Publikováno v:
PLoS ONE. Jul2012, Vol. 7 Issue 7, p1-9. 9p.
Publikováno v:
BMC Bioinformatics. 2010 Supplement 9, Vol. 11, p1-8. 8p.
Drug-drug interactions (DDI) account for 30% of all adverse drug reactions, which are the fourth leading cause of death in the US. Current methods for post marketing surveillance primarily use spontaneous reporting systems for learning DDI signals an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ca5509de636a863d4f9a38d7fdee6cf7
https://escholarship.org/uc/item/7cd017bx
https://escholarship.org/uc/item/7cd017bx
Autor:
Bauer-Mehren, Anna, Lependu, Paea, Iyer, Srinivasan V, Harpaz, Rave, Leeper, Nicholas J, Shah, Nigam H
In biomedical research, network analysis provides a conceptual framework for interpreting data from high-throughput experiments. For example, protein-protein interaction networks have been successfully used to identify candidate disease genes. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::8974c54bb98d3d941fec0ff842ecc781
https://escholarship.org/uc/item/1gh391sc
https://escholarship.org/uc/item/1gh391sc