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https://github.com/csinva/clinical-rule-development

Building and vetting clinical decision rules.

https://github.com/csinva/clinical-rule-development

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: medrxiv.org, nature.com, plos.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.3%) to scientific vocabulary

Keywords

ai artificial-intelligence clinical decision-rules decision-tree emergency-medicine explainable-ai explainable-ml interpretability large-language-models llm machine-learning medical medicine ml pecarn statistics trauma xai
Last synced: 5 months ago · JSON representation

Repository

Building and vetting clinical decision rules.

Basic Info
  • Host: GitHub
  • Owner: csinva
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 160 MB
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
ai artificial-intelligence clinical decision-rules decision-tree emergency-medicine explainable-ai explainable-ml interpretability large-language-models llm machine-learning medical medicine ml pecarn statistics trauma xai
Created over 6 years ago · Last pushed 11 months ago
Metadata Files
Readme

readme.md

For the last few years, we've been working on improving the lifecycle of developing and validating data-driven clinical decision rules. This repo contains code for three of our papers in this space:

analyzing_patient_perspectives: Auditing patient perspectives, underlying a cross-sectional study of sentiment and thematic classification on exception from informed consent (Kornblith et al. 2025, Nature scientific reports)

cdi_survey: Systematic review on bias in CDIs (Obra et al. 2025)

iai_vetting: Vetting CDI performance for children after blunt torso trauma (PLOS digital health, 2022)

Owner

  • Name: Chandan Singh
  • Login: csinva
  • Kind: user
  • Location: Microsoft research
  • Company: Senior researcher

Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
Last Year
  • Watch event: 1
  • Push event: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: 19 minutes
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • avraam-inside (1)
Pull Request Authors
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Dependencies

requirements.txt pypi
  • imodels ==0.2.4
  • matplotlib_venn *
  • numpy *
  • pandas *
  • tqdm *