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import os
import pandas as pd
import gradio as gr
# SNOMEDCT Download https://www.nlm.nih.gov/healthit/snomedct/us_edition.html
# LOINC Download https://loinc.org/downloads/
# ECQM for Value Set Measures and Quality Reporting: https://vsac.nlm.nih.gov/download/ecqm?rel=20220505&res=eh_only.unique_vs.20220505.txt
# SNOMED Nurse Subset https://www.nlm.nih.gov/healthit/snomedct/index.html?_gl=1*36x5pi*_ga*MTI0ODMyNjkxOS4xNjY1NTY3Mjcz*_ga_P1FPTH9PL4*MTY2Nzk4OTI1My41LjEuMTY2Nzk4OTY5Ni4wLjAuMA..
def MatchLOINC(name):
basedir = os.path.dirname(__file__)
pd.set_option("display.max_rows", None)
data = pd.read_csv(f'LoincTableCore.csv')
swith=data.loc[data['COMPONENT'].str.contains(name, case=False, na=False)]
return swith
def MatchLOINCPanelsandForms(name):
basedir = os.path.dirname(__file__)
data = pd.read_csv(f'PanelsAndForms.csv')
swith=data.loc[data['ParentName'].str.contains(name, case=False, na=False)]
return swith
def MatchSNOMED(name):
basedir = os.path.dirname(__file__)
data = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')
swith=data.loc[data['term'].str.contains(name, case=False, na=False)]
return swith
def MatchOMS(name):
basedir = os.path.dirname(__file__)
data = pd.read_csv(f'SnomedOMS.csv')
swith=data.loc[data['SNOMED CT'].str.contains(name, case=False, na=False)]
return swith
def MatchICD10(name):
basedir = os.path.dirname(__file__)
data = pd.read_csv(f'ICD10Diagnosis.csv')
swith=data.loc[data['Description'].str.contains(name, case=False, na=False)]
return swith
with gr.Blocks() as demo:
with gr.Row():
name = gr.Textbox(label="Enter a term or word to match and find LOINC, SNOMED and OMS clinical terminologies.")
with gr.Row():
button1 = gr.Button("LOINC Terminology")
button2 = gr.Button("LOINC Panels and Forms")
button3 = gr.Button("SNOMED Clinical Terminology")
button4 = gr.Button("SNOMED and OMS Clinical Terminology")
button5 = gr.Button("ICD10 Diagnosis Clinical Terminology")
with gr.Row():
output1 = gr.DataFrame(label="LOINC Terminology")
with gr.Row():
output2 = gr.DataFrame(label="LOINC Assessment Panels")
with gr.Row():
output3 = gr.DataFrame(label="SNOMED Terminology")
with gr.Row():
output4 = gr.DataFrame(label="SNOMED and OMS Terminology")
with gr.Row():
output5 = gr.DataFrame(label="ICD10 Diagnosis Clinical Terminology")
button1.click(fn=MatchLOINC, inputs=name, outputs=output1)
button2.click(fn=MatchLOINCPanelsandForms, inputs=name, outputs=output2)
button3.click(fn=MatchSNOMED, inputs=name, outputs=output3)
button4.click(fn=MatchOMS, inputs=name, outputs=output4)
button5.click(fn=MatchICD10, inputs=name, outputs=output5)
demo.launch(debug=True) |