💡[Feature]: Predicting Hospital Readmission Rates

[bristiHalder]

Is there an existing issue for this?

• I have searched the existing issues

Feature Description

Develop a feature to accurately predict hospital readmission rates using advanced machine learning techniques and comprehensive patient data.

• Data Preprocessing
• Feature Engineering
• Model Development: algorithms: logistic regression, decision trees, neural networks.
• Evaluation Metrics: Accuracy, precision, recall, F1-score, ROC-AUC.

Use Case

• Identify patients at risk of readmission.
• Detailed understanding of readmission reasons.
• Enable timely interventions and efficient resource use.
• Provide actionable insights for better patient care.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue

[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[Avdhesh-Varshney]

@bristiHalder go ahead.

[bristiHalder]

I accidentally included this issue's PR with my other PR (#210), merging both. Please reclassify PR #210 as level 3 or something??
(I would lose 5 points still) ;((
Sorry for the inconvenience caused
Thank you!

[bristiHalder]

@Avdhesh-Varshney @Atharv714 @TAHIR0110 anyone please give a follow-up?