Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Stuart A. Siegel"'
Autor:
Stuart E. Siegel, Fiona E. J. McDonald, Norma Mammone D'Agostino, Dan Stark, Helen Bibby, Daniel S.J. Costa, Charlene Rae, Pandora Patterson, Terry David Church, James C. Hu
Publikováno v:
Psycho-Oncology. 30:1849-1858
OBJECTIVE Adolescents and young adults (AYAs) diagnosed with cancer commonly experience elevated psychological distress and need appropriate detection and management of the psychosocial impact of their illness and treatment. This paper describes the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2bcdeffb8ce34627ec756d86485b31
https://doi.org/10.1002/pon.5757
https://doi.org/10.1002/pon.5757
Publikováno v:
Journal of the National Medical Association
The United States has had, by far, the world's greatest civilian ownership of firearms. An even greater ownership occurred during the Covd-19 pandemic, mostly of handguns and including many new owners. The U.S. has also had the least progress of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0522f0caadd3816ef85e56620beb041b
Autor:
Wesley M. Gifford, Stuart A. Siegel, Jayant R. Kalagnanam, Chandra Reddy, Shrey Shrivastava, Dhaval Patel
Publikováno v:
IEEE BigData
In this paper, we describe an overarching ML system with a simple programming interface that leverages existing AI and ML frameworks to make the task of model exploration easier. The proposed system introduces a new programming construct namely pipel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c16e70eb2f7332855d8b5c1a551993
https://doi.org/10.1109/bigdata50022.2020.9378082
https://doi.org/10.1109/bigdata50022.2020.9378082
Autor:
Wesley M. Gifford, Anuradha Bhamidipaty, Venkata Sitaramagiridharganesh Ganapavarapu, Stuart A. Siegel, Jayant R. Kalagnanam, Dhaval Patel, Shrey Shrivastava
Publikováno v:
IEEE BigData
Fueled with growth in the fields of Internet of Things (IoT) and Big Data, data has become one of the most valuable assets in today’s world. While we are leveraging this data for analyzing complex systems using machine learning and deep learning, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407d6ba7cb30252db0221942ca81b82e
https://doi.org/10.1109/bigdata47090.2019.9006187
https://doi.org/10.1109/bigdata47090.2019.9006187
BackgroundIn the United States (U.S.), the overall death rate in 1-4 year-olds had been steadily declining until 2011, after which it ceased to improve. To understand this trend reversal, we investigated trends in the causes of their deaths.MethodsMo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ec944d94eeed24f32f7328967726f5
https://doi.org/10.1101/19009191
https://doi.org/10.1101/19009191
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030234980
ICWS
ICWS
AI, machine learning, and deep learning tools have now become easily accessible on the cloud. However, the adoption of these cloud-based services for heavy industries has been limited due to the gap between general purpose AI tools and operational re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f81b2f11830dcea7a9429bf266e14ee
https://doi.org/10.1007/978-3-030-23499-7_11
https://doi.org/10.1007/978-3-030-23499-7_11
Autor:
Archie Bleyer, Bijal D. Shah, Lori Muffly, Brandon Hayes-Lattin, Rebecca H. Johnson, Selina M. Luger, Anjali S. Advani, Mark A. Lewis, Wendy Stock, David R. Freyer, Stuart E. Siegel, Nita L. Seibel, Daniel J. DeAngelo, Dan Douer, Jerry J. Jaboin, Peter F. Coccia
Publikováno v:
Am J Hematol
For young adults with acute lymphoblastic leukemia, pediatric-based regimens are likely to provide the following when compared to hyper-CVAD regimens: better disease control, less hospitalization time, diminished acute toxicities, decreased financial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d56f608e681240496356619a4505e50b
https://pubmed.ncbi.nlm.nih.gov/30058716
https://pubmed.ncbi.nlm.nih.gov/30058716
Publikováno v:
JNCI: Journal of the National Cancer Institute. 111:633-634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e7edb11eb8f289d5f6ab9fc08b2fa12
https://doi.org/10.1093/jnci/djz019
https://doi.org/10.1093/jnci/djz019
Autor:
Paul S. Gaynon, Kathleen Meeske, Lingyun Ji, Yousif Matloub, Nita L. Seibel, David R. Freyer, Vassilios I. Avramis, Stuart E. Siegel, Anna Butturini, Richard Sposto, Kathleen S. Ruccione
Publikováno v:
Pediatric Blood & Cancer. 62:2140-2149
Background Epidemiologic studies find sex-based differences in incidence, survival, and long-term outcomes for children with cancer. The purpose of this study was to determine whether male and female patients differ with regard to acute treatment-rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406300381935fc5bc491739ab3a96e5b
https://doi.org/10.1002/pbc.25628
https://doi.org/10.1002/pbc.25628