Sleep Disorder Prediction Using Machine Learning | Python Final Year IEEE Project
Sleep Disorder Prediction Using Machine Learning | Python Final Year Project | IEEE Project.
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🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org
📌Our Proposed Project Title: Sleep Disorder Prediction Using Machine Learning.
💡Implementation: Python.
🔬Algorithm / Model Used: Gradient Boosting Classifier and Quadratic Discriminant Analysis.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/
📘Project Abstract:
👉The "Sleep Disorder Prediction Using Machine Learning" project aims to enhance the accuracy and efficiency of diagnosing sleep disorders by leveraging advanced machine learning techniques.
👉Developed using Python, with a frontend powered by HTML, CSS, and JavaScript, and utilizing Flask as the web framework, this project integrates modern data analysis with user-friendly web interfaces to provide comprehensive diagnostic insights.
👉Two sophisticated Machine Learning models, the Gradient Boosting Classifier and Quadratic Discriminant Analysis, were employed to classify sleep disorders into three distinct categories: Healthy, Insomnia, and Sleep Apnea.
🚀IEEE Base Paper Title: Applying Machine Learning Algorithms for the Classification of Sleep Disorders.
📍REFERENCE:
Talal Sarheed Alshammari, “Applying Machine Learning Algorithms for the Classification of Sleep Disorders”, IEEE Access, Volume: 12, 2024.
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