Lars Masanneck
commited on
Commit
·
3cc779f
1
Parent(s):
57c3dfc
Create README for HF
Browse files
README.md
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
title: ⌚ Withings Z-Score Normalizer
|
| 3 |
+
emoji: "📊"
|
| 4 |
+
colorFrom: blue
|
| 5 |
+
colorTo: green
|
| 6 |
+
sdk: streamlit
|
| 7 |
+
app_file: app.py
|
| 8 |
+
python_version: 3.10
|
| 9 |
+
sdk_version: 1.24.0
|
| 10 |
+
suggested_hardware: cpu-basic
|
| 11 |
+
suggested_storage: small
|
| 12 |
+
short_description: "A Streamlit app to compute normative Z-scores for Withings smartwatch biomarkers on a per-capita basis."
|
| 13 |
+
tags:
|
| 14 |
+
- withings
|
| 15 |
+
- z-score
|
| 16 |
+
- normalization
|
| 17 |
+
- streamlit
|
| 18 |
+
- health-data
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
# Withings Z-Score Normalizer
|
| 22 |
+
|
| 23 |
+
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.
|
| 24 |
+
|
| 25 |
+
## 🚀 Getting Started
|
| 26 |
+
|
| 27 |
+
1. **Clone this Space**
|
| 28 |
+
|
| 29 |
+
```bash
|
| 30 |
+
git clone https://huggingface.co/spaces/<your-username>/withings-zscore-normalizer
|
| 31 |
+
cd withings-zscore-normalizer
|