aws-samples / medical-transcription-analysis
Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care professionals to focus on patient care.
Summary
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| Main Code: 15,652 LOC (106 files) = CSS (61%) + JS (24%) + PY (6%) + SCSS (4%) + TS (3%) + HTML (<1%) | |||
| Duplication: 8% | |||
| File Size: 52% long (>1000 LOC), 29% short (<= 200 LOC) | |||
| Unit Size: 38% long (>100 LOC), 30% short (<= 10 LOC) | |||
| Conditional Complexity: 20% complex (McCabe index > 50), 61% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (20 components) | ||
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1 year, 9 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) | |||
Latest commit date: 2021-11-12
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