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Ebm Calculator

Evidence-Based Medicine calculator for sensitivity, specificity, PPV, NPV, NNT, and likelihood ratios. Essential for clinical decision making and biostatisti...
Evidence-Based Medicine calculator for sensitivity, specificity, PPV, NPV, NNT, and likelihood ratios. Essential for clinical decision making and biostatisti...
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未分类 clawhub v0.1.0 1 版本 100000 Key: 无需
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概述

EBM Calculator

Evidence-Based Medicine diagnostic test calculator.

Features

  • Sensitivity / Specificity calculation
  • PPV / NPV with prevalence adjustment
  • Likelihood ratios (LR+ / LR-)
  • Number Needed to Treat (NNT)
  • Pre/post-test probability conversion

Parameters

ParameterTypeDefaultRequiredDescription
-------------------------------------------------
--mode, -mstringdiagnosticNoCalculation mode (diagnostic, nnt, probability)
--tp, --true-posint-*True positives (diagnostic mode)
--fn, --false-negint-*False negatives (diagnostic mode)
--tn, --true-negint-*True negatives (diagnostic mode)
--fp, --false-posint-*False positives (diagnostic mode)
--prevalence, -pfloat-NoDisease prevalence 0-1 (diagnostic mode)
--control-ratefloat-**Control event rate 0-1 (nnt mode)
--experimental-ratefloat-**Experimental event rate 0-1 (nnt mode)
--pretestfloat-*Pre-test probability 0-1 (probability mode)
--lrfloat-*Likelihood ratio (probability mode)
--output, -ostringstdoutNoOutput file path

\* Required for diagnostic mode

\** Required for nnt mode

\* Required for probability mode

Output Format

{
  "sensitivity": "float",
  "specificity": "float",
  "ppv": "float",
  "npv": "float",
  "lr_positive": "float",
  "lr_negative": "float",
  "interpretation": "string"
}

Risk Assessment

Risk IndicatorAssessmentLevel
-----------------------------------
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited
  • Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
  • Performance optimization
  • Additional feature support

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-02 00:43 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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