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maternity-health-risk
CyberParv/maternity-health-risk
maternity-health-risk is a machine learning model from CyberParv. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains machine learning models for predicting maternity health risk levels.
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At a glance
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025
- SHA
- 9162d088
Model card
From the Hugging Face model README
Maternity Health Risk Prediction Models
This repository contains machine learning models for predicting maternity health risk levels.
Model Categories
Individual Models
- Decision Tree
- K-Nearest Neighbors (KNN)
- Logistic Regression
- Neural Network
- Random Forest
Ensemble Models
- Enhanced Ensemble
- Weighted Voting
Preprocessing Components
- Standard Scaler
- Initial Scaler
- Feature Selector
Usage
The models can be used through the Hugging Face Inference API. Each model can be accessed by specifying the model type in the API request.
Input Features
- Systolic Blood Pressure
- Diastolic Blood Pressure
- Blood Sugar
- BMI
- Heart Rate
- Previous Complications
- Preexisting Diabetes
- Gestational Diabetes
- Mental Health Status
Risk Levels
- Low Risk
- Medium Risk
- High Risk
- Created
- Jun 11, 2025
- Updated
- Jun 11, 2025