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Guido Muscioni
Guido Muscioni
Anthem Inc.
Bestätigte E-Mail-Adresse bei anthem.com
Titel
Zitiert von
Zitiert von
Jahr
adaptive susceptible-infectious-removed model for continuous estimation of the COVID-19 infection rate and reproduction number in the United States: Modeling study
MB Shapiro, F Karim, G Muscioni, AS Augustine
Journal of Medical Internet Research 23 (4), e24389, 2021
20*2021
Corticothalamic gating of population auditory thalamocortical transmission in mouse
BA Ibrahim, CA Murphy, G Yudintsev, Y Shinagawa, MI Banks, DA Llano
Elife 10, e56645, 2021
102021
Animal Wildlife Population Estimation Using Social Media Images Collections
M Foglio, L Semeria, G Muscioni, R Pressiani, T Berger-Wolf
KDD19 Workshop on Data Mining and AI for Conservation, 2019
42019
A digital approach to asthma self-management in adults: Protocol for a pragmatic randomized controlled trial
J Silberman, S Sarlati, B Harris, W Bokhari, H Boushey, A Chesnutt, P Zhu, ...
Contemporary Clinical Trials 122, 106902, 2022
32022
A Framework for Identifying Group Behavior of Wild Animals
G Muscioni, R Pressiani, M Foglio, MC Crofoot, MD Santambrogio, ...
KDD19 Workshop on Data Mining and AI for Conservation, 2019
32019
Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codes
A Gutfraind, K Yagci Sokat, G Muscioni, S Alahmadi, J Hudlow, ...
Frontiers in public health 11, 1243413, 2023
12023
Self-supervision for health insurance claims data: a Covid-19 use case
E Apostolova, F Karim, G Muscioni, A Rana, J Clyman
arXiv preprint arXiv:2107.14591, 2021
12021
Medical journeys of victims of exploitation and trafficking: a retrospective cohort study using a large multi-state dataset and new ICD-10 codes
KY Sokat, A Gutfraind, G Muscioni, S Alahmadi, J Hudlow, R Hershow, ...
medRxiv, 2022.05. 02.22274579, 2022
2022
Behavior Identification of Social Individuals from Sensor Data
G Muscioni
University of Illinois at Chicago, 2019
2019
On how to track social individuals behaviors via a mixed HW/SW solution
R PRESSIANI, G MUSCIONI
Politecnico di Milano, 2018
2018
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