Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
pc4covid19/pc4covid19: COVID19 (SARS-CoV-2) tissue simulator nanoHUB app
0
Zitationen
2
Autoren
2020
Jahr
Abstract
pc4covid19 - COVID19 (SARS-CoV-2) tissue simulator nanoHUB app <strong>Version:</strong> 3.1 <strong>Release date:</strong> 3 July 2020 Overview This repository contains code and data for the nanoHUB app https://nanohub.org/tools/pc4covid19. Here, we primarily report on changes to the app's GUI. It is based on the model at https://github.com/pc4covid19/COVID19. Refer to that repository for a summary of changes to the model. Caveats and disclaimers: <strong>This model is under active development using rapid prototyping:</strong> It has not been peer reviewed. It is intended to drive basic scientific research and public education at this stage. <strong>It cannot be used for public policy decisions.</strong> <strong>It cannot be used for individual medical decisions.</strong> <strong>This model will be continually refined with input from the community, particularly experts in infectious diseases. The validation state will be updated as this progresses.</strong> Release summary: 3.1: Minor updates to <code>About</code> text, e.g., explaining nature of stochastic results. Edits to <code>immune_submodels.cpp</code> (see details in the core model repository). 3.0: The major change to the GUI in this release is the addition of a 'Cell Types' tab. This allows editing parameters associated with <code><cell_definitions></code> in the configuration file. This version also includes a <code><style></code> block in the Jupyter notebook that fixed an unwanted scrollbar in the lengthy <code>About</code> tab. 2.0: The major change to the GUI in this release is the addition of an 'Animate' tab. This allows animation of cells (not substrates) in the tab and the generation of a .mp4 video that can be downloaded. The animation uses the cells' SVG files. 1.0: Provides a "standard" PhysiCell-based Jupyter notebook GUI consisting of 5 tabs: About: a description of the model and the app Config Basics: input parameters common to all models (e.g., domain grid, simulation time, choice/frequency of outputs) Microenvironment: microenvironment parameters that are model-specific User Params: user parameters that are model-specific Out: Plots: output display of cells and substrates
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.