Chronic Kidney Disease Prediction Model #876
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
The latest updates on your projects. Learn more about Vercel for Git ↗︎
|
|
👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. |
UppuluriKalyani
approved these changes
Nov 10, 2024
|
🎉🎉 Thank you for your contribution! Your PR #876 has been merged! 🎉🎉 |
UppuluriKalyani
added
level1
gssoc-ext
hacktoberfest-accepted
and removed
ml-nexus
labels
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Related Issues or bug
Chronic kidney disease (CKD) is a global health challenge with significant morbidity and mortality. Early diagnosis is crucial for effective treatment and slowing disease progression. However, manual analysis of patient health metrics can be time-consuming and prone to human error. This project addresses the need for an automated, accurate, and efficient system to predict CKD from patient data. By employing machine learning techniques, the system helps:
Fixes: #873
Proposed Changes
This project aims to predict chronic kidney disease (CKD) using advanced machine learning models. Leveraging a dataset that includes patient health metrics, the project implements various algorithms to achieve accurate classification of CKD. The primary objective is to create a robust model that can assist in early detection, contributing to better patient outcomes and proactive management of the disease.