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seismometer - AI Model Libraries & Training Tool

Overview

seismometer is an open-source Python package for evaluating AI model performance with an emphasis on healthcare applications. It provides templates and tools to analyze statistical performance, fairness, and the impact of interventions using local patient data.

Key Features

  • Templates for evaluating model statistical performance
  • Tools to assess fairness across patient subgroups
  • Analysis of intervention effects on outcomes
  • Works with local patient data to preserve privacy
  • Adaptable to validate models outside healthcare

Ideal Use Cases

  • Validating clinical risk prediction models
  • Assessing fairness across demographic groups
  • Measuring impact of clinical interventions
  • Testing models on local institution data
  • Adapting evaluation workflows for other domains

Getting Started

  • Clone the GitHub repository
  • Install package or set up Python environment
  • Review repository README and usage documentation
  • Load local patient data with appropriate permissions
  • Run provided evaluation templates and tools on local data
  • Inspect performance, fairness, and intervention impact outputs
  • Iterate model or analysis based on findings

Pricing

No pricing information provided. seismometer is described as an open-source Python package; check the repository for license and contribution details.

Limitations

  • Primarily designed for healthcare; may require adaptation for other domains
  • Requires access to local patient data and appropriate data governance and permissions
  • Open-source tools may require technical setup and Python experience

Key Information

  • Category: Model Libraries & Training
  • Type: AI Model Libraries & Training Tool
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