HyperClinical / src /demo_backend /constants.py
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Set up inference-only HyperClinical Streamlit app with runtime HF asset download
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from __future__ import annotations
AVRA_COLS = ["MTA_left", "MTA_right", "PA", "GCA-F"]
CLINICAL_FEATURE_COLS = [
"sex",
"age",
"edu",
"race",
"hispanic",
"marriage",
"declong",
"decage",
"smoke",
"height",
"weight",
"bmi",
"health_history1",
"health_history2",
"health_history3",
"health_history4",
"health_history5",
"health_history6",
"health_history7",
"health_history10",
"health_history11",
"health_history12",
]
CLASS_NAMES = [
"Cognitively Normal",
"MCI",
"Alzheimer's Spectrum",
"Non-AD Neurodegeneration",
"Non-Neurodegenerative/Other",
]