Chronic Kidney Disease Prediction Model

[Varunshiyam]

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

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:

• Streamline Diagnosis: Providing faster, data-driven insights for healthcare professionals.
• Improve Accuracy: Reducing the variability and potential inaccuracies in manual assessments.
• Assist in Preventative Care: Enabling early intervention strategies to mitigate disease impact.

Describe the solution you'd like

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.

[github-actions]

Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR,
Pull the latest changes to avoid any merge conflicts.

• Attach before & after screenshots in your PR for clarity.
• Include the issue number in your PR description for better tracking.
  Happy open-source contributing!☺️

[github-actions]

Hello @Varunshiyam! Your issue #873 has been closed. Thank you for your contribution!