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BayesMobileBayesFusion

Mobile app for running, analyzing, and interacting with Bayesian network models created in GeNIe or SMILE, supporting decision analysis on the go.

Vendor

Vendor

BayesFusion

Company Website

Company Website

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Product details

BayesMobile is a mobile application designed to allow users to run, analyze, and interact with Bayesian network models directly from their mobile devices. The app supports importing models created in GeNIe, SMILE, or SMILE Wrappers, enabling users to perform probabilistic inference, diagnostics, and decision analysis without desktop software. BayesMobile is available for iOS devices and is intended for professionals and researchers who need access to probabilistic models in the field or on the move. The app includes built-in example models and supports seamless integration with existing BayesFusion tools.

Key Features

Model Import and Integration Import Bayesian network models from GeNIe, SMILE, or SMILE Wrappers.

  • Seamless synchronization with existing model files.
  • Supports a variety of probabilistic graphical models.

Interactive Inference and Diagnostics Run inference and perform diagnostic analysis on mobile.

  • Set evidence and observe updated probabilities in real time.
  • Analyze outcomes and make data-driven decisions.

Built-in Example Models Includes sample models for demonstration and learning.

  • Explore basic and advanced Bayesian network applications.

Mobile-Optimized Interface Designed for ease of use on smartphones and tablets.

  • Touch-friendly navigation and visualization.
  • No need for desktop or web access.

Benefits

On-the-Go Decision Support Access and analyze Bayesian models anywhere.

  • Enables fieldwork, remote diagnostics, and mobile research.
  • Reduces dependency on desktop environments.

Seamless Workflow Integration Works with existing BayesFusion tools and models.

  • Facilitates collaboration and model sharing across devices.
  • Supports rapid prototyping and testing of models.

User-Friendly Experience Intuitive interface for non-technical users.

  • Lowers the barrier to probabilistic analysis.
  • Quick access to key model functions.