Lars Masanneck
commited on
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e10935c
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b54683b
Update - only add relevant biomarkers
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.DS_Store
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Binary file (6.15 kB). View file
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README.md
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@@ -20,4 +20,4 @@ tags:
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This Streamlit application computes normative Z-scores and percentiles for various Withings smartwatch biomarkers by comparing user-provided values against a global normative dataset. It helps you interpret individual health metrics relative to global distributions.
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This Streamlit application computes normative Z-scores and percentiles for various Withings smartwatch biomarkers by comparing user-provided values against a global normative dataset. It helps you interpret individual health metrics relative to global distributions.
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This tool is part of the publication *"Population-Normalised Wearable Metrics Quantify Real-World Disability in Multiple Sclerosis"* currently in review.
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app.py
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@@ -40,7 +40,7 @@ BIOMARKER_LABELS = {
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}
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# Biomarkers temporarily disabled in the UI. Remove from this set to re-enable.
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DISABLED_BIOMARKERS = {"weight"}
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def main():
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# Footer
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st.markdown("---")
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st.markdown(
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"Built
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"Thanks to Withings for sharing this data openly."
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)
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if __name__ == "__main__":
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}
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# Biomarkers temporarily disabled in the UI. Remove from this set to re-enable.
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DISABLED_BIOMARKERS = {"weight", "sbp", "dbp", "pwv", "nb_vigorous_active_minutes"}
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def main():
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# Footer
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st.markdown("---")
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st.markdown(
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"Built with ❤️ in Düsseldorf. © Lars Masanneck 2026. "
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"Thanks to Withings for sharing this data openly."
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)
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st.markdown(
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"*This tool is part of the publication "
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"\"Population-Normalised Wearable Metrics Quantify Real-World Disability "
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"in Multiple Sclerosis\" currently in review.*"
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)
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if __name__ == "__main__":
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