Mo.1.10.1
Early Detection of Infectious Disease Outbreaks Using Quantitatively Validated Multi-Stream Narrative Biosurveillance Signals
Andy Skumanich, Innov8ai Inc.; Han Kim, University of Southern California
Session:
Mo.1.10: Infectious Disease Surveillance, Epidemiology & Public Health Informatics Oral
Track:
Biomedical & Health Informatics
Location:
Room 803AB
Presentation Time:
Monday, 27 July, 11:45 - 12:00
Session Co-Chairs:
Thomas Penzel and Yi-Ju Tseng
Presentation
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Session Mo.1.10
Mo.1.10.1: Early Detection of Infectious Disease Outbreaks Using Quantitatively Validated Multi-Stream Narrative Biosurveillance Signals
Andy Skumanich, Innov8ai Inc.; Han Kim, University of Southern California
Mo.1.10.2: Cross-Country Learning for National Infectious Disease Forecasting Using European Data
Zacharias Komodromos, Kleanthis Malialis, Artemis Kontou, Panayiotis Kolios, KIOS Research and Innovation Center of Excellence, University of Cyprus
Mo.1.10.3: BIO-STREAMS: SIX KEY PRINCIPLES FOR DIGITAL BIOBANKS AS SUSTAINABLE INFRASTRUCTURE
Vasileios Apostolakos, Andreas Vezakis, National Technical University of Athens; Ioannis Vezakis, Tecreando B.V; Stavros T. Miloulis, Athanasios Athanasiou, National Technical University of Athens; Stavros Pitoglou, Computer Solutions SA; Eleni I. Georga, University of Ioannina; Dimitrios I. Fotiadis, University of Ioannina and Biomedical Research Institute Foundation for Research and Technology-Hellas; Nikolaos Alibertis, Novelcore; George K. Matsopoulos, National Technical University of Athens
Mo.1.10.4: Computational Analysis of Knowledge, Attitudes, and Practices Indicators for Vector-Borne Disease Prevention Based on ENDES Population Data
Wendy Chavez, Violeta Vilcapoma, Anghely Alvarado, Alessandra Valle, Rene Flores, Pontificia Universidad Católica del Perú
Mo.1.10.5: A Physics-Informed Machine Learning Framework for Screening Antifungal Resistance-Mediating ABC Transporter Pocket Stability
Avelyn Jing, The Harker School
Resources
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