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import streamlit as st |
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import streamlit.components.v1 as components |
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st.title("📘Named Entity Recognition") |
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st.header("Tags the below 41 medical entities") |
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entities = [ |
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'ACTIVITY', 'ADMINISTRATION', 'AGE', 'AREA', 'BIOLOGICAL_ATTRIBUTE', |
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'BIOLOGICAL_STRUCTURE', 'BODY_PART', 'CESIUM_UNIT', 'CHEMICAL', 'CLASS', |
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'COLOR', 'COREFERENCE', 'DATE', 'DIMENSION', 'DOSAGE', 'DISTANCE', |
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'DURATION', 'ENERGY', 'FREQUENCY', 'HUMAN_IDENTIFIER', 'IDC_CODE', |
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'ID_NUMBER', 'LAB_VALUE', 'LOCATION', 'MEASUREMENT', 'MEDICAL_DEVICE', |
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'MEDICAL_PROCEDURE', 'MODE', 'NANOMETER', 'OBJECTIVE', 'OCCUPATION', |
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'ORGANISM', 'PERCENT', 'PERSONAL_RELATION', 'PHYSICAL_FINDING', |
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'PROCEDURE', 'QUALITATIVE_VALUE', 'QUANTITY', 'RATE', 'SCALE', |
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'SEX', 'SIGN', 'STATUS', 'SUBJECTIVE', 'TEMPORALITY', 'TEST', |
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'TIME', 'TOPIC', 'UNIT', 'VITAL_SIGN', 'WEIGHT' |
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] |
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for entity in entities: |
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st.write(entity) |
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