Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Roy Welsch"'
Autor:
Aamna AlShehhi, Roy Welsch
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-20 (2023)
Abstract Nitrogen Dioxide (NO $$_{2}$$ 2 ) is a common air pollutant associated with several adverse health problems such as pediatric asthma, cardiovascular mortality,and respiratory mortality. Due to the urgent society’s need to reduce pollutant
Externí odkaz:
https://doaj.org/article/4964ebd8e91d47f2be704e27ba3aa600
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-20 (2019)
Abstract The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations of these large datasets can yiel
Externí odkaz:
https://doaj.org/article/1e6b168ba50e4bf08f339b1d63b5108a
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223161 (2019)
In many data classification problems, a number of methods will give similar accuracy. However, when working with people who are not experts in data science such as doctors, lawyers, and judges among others, finding interpretable algorithms can be a c
Externí odkaz:
https://doaj.org/article/1a0e70251ae6423c8d50fa47f6a2a979
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:638-641
Autor:
Zach Shahn, Phoebe Spear, Helen Lu, Sharon Jiang, Suki Zhang, Neil Deshmukh, Shenbo Xu, Kenney Ng, Roy Welsch, Stan Finkelstein
Publikováno v:
Pharmacoepidemiology and drug safety. 31(9)
With availability of voluminous sets of observational data, an empirical paradigm to screen for drug repurposing opportunities (i.e., beneficial effects of drugs on nonindicated outcomes) is feasible. In this article, we use a linked claims and elect
Publikováno v:
AMIA Annu Symp Proc
The central task of causal inference is to remove (via statistical adjustment) confounding bias that would be present in naive unadjusted comparisons of outcomes in different treatment groups. Statistical adjustment can roughly be broken down into tw
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3073ab02e67b21dd910e83824f4d1ca6
https://doi.org/10.1007/978-3-030-30263-4_7
https://doi.org/10.1007/978-3-030-30263-4_7
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82a29b9b84fc4508f76d2255106631b
https://doi.org/10.1007/978-3-030-30263-4_8
https://doi.org/10.1007/978-3-030-30263-4_8
Publikováno v:
Socio-Affective Computing ISBN: 9783030302627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8f133598a6123c0036939e5a6b1656a
https://doi.org/10.1007/978-3-030-30263-4
https://doi.org/10.1007/978-3-030-30263-4
Publikováno v:
Intelligent Asset Management ISBN: 9783030302627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f082d7d9202e6c3cbe6d17d65b9514df
https://doi.org/10.1007/978-3-030-30263-4_1
https://doi.org/10.1007/978-3-030-30263-4_1