💡[Feature]: Predicting Patient Length of Stay in Hospitals

[Shravanikale]

Is there an existing issue for this?

• I have searched the existing issues

Feature Description

Predicting the length of stay for patients in hospitals is a critical task that can help healthcare providers optimize resource allocation, improve patient management, and enhance overall operational efficiency.

Use Case

Predicting patient length of stay optimizes resource use, improves care planning, and enhances hospital efficiency. It aids in better bed and staff management, reduces overcrowding, and supports accurate financial planning. This approach fosters data-driven decision-making, ensuring smoother patient experiences and improved healthcare delivery overall.

Benefits

Predicting patient length of stay optimizes resource use and enhances patient care by streamlining hospital operations and improving financial planning. This contributes to smoother workflows, cost savings, and better health outcomes, benefiting both the project and the community.

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Priority

High

Record

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

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[ritzzcodes]

please assign this issue to me.

[github-actions]

Hello @Shravanikale! Your issue #789 has been closed. Thank you for your contribution!