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Create app.py
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app.py
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import os
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import pandas as pd
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import gradio as gr
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def MatchLOINC(name):
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import pandas as pd
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'{basedir}/LoincTableCore.csv') # LOINC Download https://loinc.org/downloads/
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swith = data[data['COMPONENT'].str.match(name)]
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return switch
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def MatchSNOMED(name):
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import pandas as pd
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'{basedir}/sct2_Description_Full-en_US1000124_20220901.txt',sep='\t') # SNOMEDCT Download https://www.nlm.nih.gov/healthit/snomedct/us_edition.html
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swith = data[data['term'].str.match(name)]
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return swith
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# ECQM for Value Set Measures and Quality Reporting: https://vsac.nlm.nih.gov/download/ecqm?rel=20220505&res=eh_only.unique_vs.20220505.txt
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# SNOMED Nurse Subset https://www.nlm.nih.gov/healthit/snomedct/index.html?_gl=1*36x5pi*_ga*MTI0ODMyNjkxOS4xNjY1NTY3Mjcz*_ga_P1FPTH9PL4*MTY2Nzk4OTI1My41LjEuMTY2Nzk4OTY5Ni4wLjAuMA..
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with gr.Blocks() as demo:
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name = gr.Textbox(label="Name")
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output1 = gr.Textbox(label="Output Match LOINC")
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output2 = gr.Textbox(label="Output Match SNOMED")
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button1 = gr.Button("Match LOINC Clinical Terminology")
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button1.click(fn=MatchLOINC, inputs=name, outputs=output1)
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button2 = gr.Button("Match SNOMED Clinical Terminology")
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button2.click(fn=MatchSNOMED, inputs=name, outputs=output2)
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demo.launch(debug=True)
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