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Machine Learning for Sleep Disorder Diagnosis by varad.marawar22 is a document available to read on EtoBox.

What is Machine Learning for Sleep Disorder Diagnosis about?

The presentation discusses research on using machine learning to enhance the accuracy of sleep disorder classification, addressing the limitations of traditional diagnostic methods. The study demonstrates that machine learning models, particularly Logistic Regression with PCA, can significantly improve diagnostic efficiency and accuracy, with potential applications in healthcare systems and wearable devices. Future work aims to expand the dataset and explore deep learning techniques for real-time monitoring

Author

varad.marawar22

Language

EN