aws-samples / amazon-comprehend-medical-fhir-integration

Workshop demonstrating the use of Amazon Comprehend Medical to extract clinical entities from unstructured text and map them to FHIR resources.

Summary
email_034-attachment-send-file-code-cssCreated with Sketch.
Main Code: 3,409 LOC (18 files) = JAVA (89%) + YAML (9%) + PY (<1%)
Secondary code: Test: 5 LOC (1); Generated: 0 LOC (0); Build & Deploy: 15 LOC (3); Other: 2,814 LOC (9);
Artboard 48 Duplication: 13%
File Size: 68% long (>1000 LOC), 22% short (<= 200 LOC)
Unit Size: 79% long (>100 LOC), 12% short (<= 10 LOC)
Conditional Complexity: 0% complex (McCabe index > 50), 98% simple (McCabe index <= 5)
Logical Component Decomposition: primary (2 components)
files_time

2 years, 4 months old

  • 100% of code older than 365 days
  • 100% of code not updated in the past 365 days

0% of code updated more than 50 times

Also see temporal dependencies for files frequently changed in same commits.

Goals: Keep the system simple and easy to change (4)
Commits Trend

Latest commit date: 2021-06-05

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Commits

2

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59

Contributors

2

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2021 2020 2019
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Analysis Report
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Analysis Report
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Notes & Findings
Links

generated by sokrates.dev (configuration) on 2022-01-31