SrijanShovit / HealthLearning

A repo comprising of various Machine Learning and Deep Learning projects in healthcare domain.
36 stars 51 forks source link

Knee Osteoarthritis Prediction #168

Closed devarshh08 closed 1 week ago

devarshh08 commented 3 weeks ago

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

Knee Osteoarthritis is a problem very common among the population of today. It is more common in females above the age of 40. There are many factors which play a role in that, but it can be predicted early in age considering a few things.

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

Aim : Classifying images of x-rays into chances of the patient getting osteoarthritis also keeping the other factors in mind as well such as gender and age.

Dataset : https://www.kaggle.com/datasets/shashwatwork/knee-osteoarthritis-dataset-with-severity/data

Describe alternatives you've considered

No response

Additional context

This is inspired by the brain tumor prediction and parkinson's prediction and likewise projects.

Code of Conduct

github-actions[bot] commented 3 weeks ago

Congratulations, @devarshh08! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

SrijanShovit commented 2 weeks ago

Go ahead but first get acquainted with the requirements of DL project from PR discussions of MRI classification.

devarshh08 commented 2 weeks ago

@SrijanShovit Definitely I will! Thank you very much!

devarshh08 commented 2 weeks ago

Hi @SrijanShovit, I want to request a few days extension for completing this project. Because it is my first time I am facing a lot of issues and am working to resolve them.

Thank you very much for understanding.

github-actions[bot] commented 1 week ago

This issue has been automatically closed because it has been inactive for more than 7 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!