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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) |