Open priyankaangane opened 1 month ago
@priyankaangane Parkinson's disease is not directly related to depression or anxiety, as these mood disorders are common non-motor symptoms of the condition. While not everyone with Parkinson's disease experiences depression or anxiety. however, it still aligns with our objective in one way or another. Therefore, I'll assign this as a level 1 issue to you. is it fine by you?
@TAHIR0110 Thank you for considering the feature issue I raised. I understand that while Parkinson's disease isn't directly related to depression or anxiety, they can still be one of the aspects to consider. I'll address this level 1 issue accordingly.
@priyankaangane assigned!
Hey @TAHIR0110 I want to work on this issue.Kindly assign me this issue .
Hi @TAHIR0110 I wish to work on this issue. Kindly assign me this issue.
@TAHIR0110 would like to work on this issue, pls assign me
please assign me the project i want to work on it
Hi @TAHIR0110,
I wanted to inform you that I've submitted a pull request (#82 ) to address the issue [#41]. In the pull request, I've implemented functionality for Parkinson's disease prediction using machine learning models. This includes data preprocessing, model training, evaluation, hyperparameter tuning, and prediction based on both audio features and symptoms provided by the user.
I would appreciate it if you could take some time to review the changes and provide your feedback.
Thanks, Priyanka Angane
hey @TAHIR0110 I would like to work on this issue. Can you please assign it to me?
Is your feature request related to a problem? Please describe. Ans. Our repository emphasizes mental health prediction models, but it doesn't currently include one for Parkinson's disease. This is crucial as Parkinson's is linked to mental health issues like depression and anxiety. Predicting Parkinson's could indirectly support mental health efforts by enabling early intervention for interconnected conditions. Therefore, adding this model would align with our goal of promoting well-being.
Describe the solution you'd like Ans. Let's add a Parkinson's disease prediction model. It would analyze demographics, medical history, and possibly genetics to predict the risk of developing Parkinson's.
Describe alternatives you've considered Ans. We could collaborate with others, but an in-house model would give us more control.
Additional context I'm eager to contribute, and I believe incorporating this model aligns with our goal of promoting overall well-being.