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Update app.py
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app.py
CHANGED
@@ -7,35 +7,38 @@ import gradio as gr
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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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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'LoincTableCore.csv')
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swith=data.loc[data['COMPONENT'].str.contains(name, case=False)]
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return swith
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def MatchLOINCPanelsandForms(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'PanelsAndForms.csv')
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swith=data.loc[data['ParentName'].str.contains(name, case=False)]
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return swith
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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'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')
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#swith = data[data['term'].str.match(name)]
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swith = data[data['term'].str.match(name)]
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return swith
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with gr.Blocks() as demo:
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name = gr.Textbox(label="Name")
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output1 = gr.TextArea(label="Output Match LOINC", max_lines=100, interactive=True, )
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output2 = gr.
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output3 = gr.
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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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@@ -44,7 +47,10 @@ with gr.Blocks() as demo:
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button2.click(fn=MatchLOINCPanelsandForms, inputs=name, outputs=output2)
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button3 = gr.Button("Match SNOMED Clinical Terminology")
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button3.click(fn=MatchSNOMED, inputs=name, outputs=
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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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def MatchLOINC(name):
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'LoincTableCore.csv')
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swith=data.loc[data['COMPONENT'].str.contains(name, case=False)]
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return swith
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def MatchLOINCPanelsandForms(name):
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'PanelsAndForms.csv')
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swith=data.loc[data['ParentName'].str.contains(name, case=False)]
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return swith
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def MatchSNOMED(name):
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')
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swith = data[data['term'].str.match(name)]
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return swith
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def MatchOMS(name):
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basedir = os.path.dirname(__file__)
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data = pd.read_csv(f'SnomedOMS.csv')
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swith = data[data['SNOMED CT'].str.match(name)]
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return swith
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with gr.Blocks() as demo:
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name = gr.Textbox(label="Name")
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output1 = gr.TextArea(label="Output Match LOINC", max_lines=100, interactive=True, )
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output2 = gr.TextArea(label="Output Match LOINC Panels and Forms", max_lines=100, interactive=True,)
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output3 = gr.TextArea(label="Output Match SNOMED", max_lines=100, interactive=True,)
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output4 = gr.TextArea(label="Output Match SNOMED", max_lines=100, interactive=True,)
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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.click(fn=MatchLOINCPanelsandForms, inputs=name, outputs=output2)
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button3 = gr.Button("Match SNOMED Clinical Terminology")
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button3.click(fn=MatchSNOMED, inputs=name, outputs=output3)
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button3 = gr.Button("Match SNOMED and OMS Clinical Terminology")
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button3.click(fn=MatchOMS, inputs=name, outputs=output4)
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