import streamlit as st | |
st.title("📘Named Entity Recognition") | |
st.header("Tags the below 41 medical entities") | |
'ACTIVITY' | |
'ADMINISTRATION' | |
'AGE' | |
'AREA' | |
'BIOLOGICAL_ATTRIBUTE' | |
'BIOLOGICAL_STRUCTURE' | |
'CLINICAL_EVENT' | |
'COLOR' | |
'COREFERENCE' | |
'DATE' | |
'DETAILED_DESCRIPTION' | |
'DIAGNOSTIC_PROCEDURE' | |
'DISEASE_DISORDER' | |
'DISTANCE' | |
'DOSAGE' | |
'DURATION' | |
'FAMILY_HISTORY' | |
'FREQUENCY' | |
'HEIGHT' | |
'HISTORY' | |
'LAB_VALUE' | |
'MASS' | |
'MEDICATION' | |
'NONBIOLOGICAL_LOCATION' | |
'OCCUPATION' | |
'OTHER_ENTITY' | |
'OUTCOME' | |
'PERSONAL_BACKGROUND' | |
'QUALITATIVE_CONCEPT' | |
'QUANTITATIVE_CONCEPT' | |
'SEVERITY' | |
'SEX' | |
'SHAPE' | |
'SIGN_SYMPTOM' | |
'SUBJECT' | |
'TEXTURE' | |
'THERAPEUTIC_PROCEDURE' | |
'TIME' | |
'VOLUME' | |
'WEIGHT' | |