Workshop demonstrating the use of Amazon Comprehend Medical to extract clinical entities from unstructured text and map them to FHIR resources.
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); |
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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) | |||
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Logical Component Decomposition: primary (2 components) | ||
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2 years, 4 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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Goals: Keep the system simple and easy to change (4) |
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Latest commit date: 2021-06-05
0
commits
(30 days)
0
contributors
(30 days) |
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generated by sokrates.dev (configuration) on 2022-01-31