Fetal Health Prediction

[Taranpreet10451]

Is your feature request related to a problem? Please describe.

Fetal health monitoring is crucial for ensuring the well-being of both the mother and the unborn child. Early detection of fetal health issues can significantly reduce complications during pregnancy and delivery. Current diagnostic methods, though effective, can benefit from additional support provided by predictive models that use data-driven insights to anticipate potential health problems.

Describe the solution you'd like along with reference dataset.

Key Features:

1. Data Collection and Preparation: Use a dataset containing fetal health indicators obtained from CTG tests or other relevant diagnostic measures.
2. Feature Selection: Identify the most relevant features that contribute to accurate predictions.
3. Machine Learning Model: Develop a basic machine learning model (e.g., logistic regression, decision tree) to classify the fetal health status.
4. Model Evaluation and Validation: Evaluate the model’s performance using appropriate metrics and validate its effectiveness on unseen data.

Describe alternatives you've considered

No response

Additional context

No response

Code of Conduct

• [X] I agree to follow this project's Code of Conduct

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[Taranpreet10451]

@SrijanShovit Can you please assign this issue to me.

[github-actions[bot]]

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