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Mental Health Prediction #183

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1 task done
chocolatecupcake2002 opened this issue Jun 19, 2024 · 3 comments
Closed
1 task done

Mental Health Prediction #183

chocolatecupcake2002 opened this issue Jun 19, 2024 · 3 comments

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@chocolatecupcake2002
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Is your feature request related to a problem? Please describe.

Mental health conditions, such as depression, anxiety, and schizophrenia, are increasingly prevalent and can significantly impact an individual's quality of life. According to the World Health Organization (WHO):

  • Depression affects more than 264 million people worldwide and is a leading cause of disability.
  • Anxiety disorders are the most common mental health conditions globally, affecting an estimated 284 million people.
  • Schizophrenia affects about 20 million people worldwide and can severely impair daily functioning.
  • Mental health conditions contribute to 14% of the global burden of disease.
    Early prediction and intervention can improve outcomes for those affected by these condition. Our project can include a feature for predicting mental health issues based on various risk factors.

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

  1. Data Preprocessing: Clean and preprocess the dataset to make it suitable for modeling.
  2. Feature Selection: Identify and select relevant features that contribute to mental health prediction.
  3. Model Development: Develop and train machine learning models using the processed data. The following algorithms will be considered:
    • Logistic Regression
    • Decision Trees
    • Random Forest
    • Support Vector Machines (SVM)
    • Gradient Boosting Machines (GBM)
    • Neural Networks
  4. Model Evaluation: Evaluate the models using appropriate metrics (e.g., accuracy, precision, recall).
  5. Integration: Integrate the trained model into the project for real-time mental health prediction.

Since Mental Health consists of broad range of disorders, The implementation can be complex to include mostly all disorders with different models and algorithms.

Describe alternatives you've considered

No response

Additional context

I kindly request you to assign me this task under GSSOC'24.

Thank You!

Code of Conduct

  • I agree to follow this project's Code of Conduct
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Congratulations, @chocolatecupcake2002! 🎉 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

@adityasingh-0803
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@SrijanShovit please assign this to me under gssoc

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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!

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