How bhaveshkumar123/neonatal-cardiac-arrest-detection-system- works
This repository is a Streamlit neonatal monitoring prototype. Its principal workflow collects patient details and vital signs, calculates a threshold-based risk level, and displays the assessment and patient summary. The sampled app also provides manual seizure, jaundice, and fever flags. The README describes machine-learning prediction, live simulation, history, and PDF/CSV reporting, but their implementation files are absent from the supplied tree; those capabilities are not represented as wired runtime components.
Main entry points: app.py Streamlit Dashboard
Components 7
Dashboard
- Streamlit Dashboard
src/app.py - Patient Inputs
src/app.py - Assessment Display
src/app.py - Patient Summary
src/app.py
Clinical Assessment
- Threshold Risk
src/app.py - Condition Flags
src/app.py
Other components
- Clinician
Connections 6
- Clinician → Streamlit Dashboard: uses
- Streamlit Dashboard → Patient Inputs: collects
- Streamlit Dashboard → Threshold Risk: calculates
- Streamlit Dashboard → Condition Flags: checks
- Streamlit Dashboard → Assessment Display: displays
- Streamlit Dashboard → Patient Summary: builds