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Issues surrounding Human Safety encompasses multiple spatial and temporal scales in various environments; including occupational, operational, recreational, medical and surgical environments.
The Human Safety framework includes the following levels of behaviors for consideration:
1) Individual patient/operator/user - EHR's, health history, expertise, experience
Back to 2019 ML-MSM main page
To register for the 2019 Integrating Machine Learning with Multiscale Modeling (ML-MSM) meeting, follow these instructions:
NOTE that the Abstract Submission deadline is October 1, 2019 at 11:59PM EST.
Meeting: Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems (2019 ML-MSM) Meeting
Meeting Dates: October 24-25, 2019
~~~~~~~~~Please use the form template below to create your poster abstract submission~~~~~~~~~~~~~~~~~~~
Session Description: The session will begin with an overview presented by the moderators, followed by a 40 minute keynote lecture. The keynote lecture will be followed by an open discussion led by the moderators.
Session Description: Data is the heart of modeling. Whether we are providing mechanistic models using multiscale modeling, statistical models, or deep learning (DL) models, the more data we have the more accurate and useful these models will be. In fact the DL revolution has occurred as much from the availability of big data as from progress in algorithms and network architecture.
