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Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
IEEE

Feature Importance Guided Network With Missing Value Learning for Pneumonia Pathogen Classification and Biomarker Discovery

Abstract: Discovering clinical biomarkers through multivariate modeling is crucial for precise pneumonia diagnosis and treatment. However, existing methods often fall short in either their ...
Kuensel Online

WWF Bhutan launches project to save endangered musk deer

The country’s rich forests are home to the musk deer, locally called Lachum, but its survival is under threat. Male Lachum carry a tiny musk pod, a gland that produces a fragrant substance prized in ...
Frontiers

Association between accelerometer-measured physical activity volume and sleep duration in older adults: a cross-sectional interpretable machine learning analysis

Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...
Scientific Research Publishing

Williamson, B.D., Gilbert, P.B., Carone, M. and Simon, N. (2020) Nonparametric Variable Importance Assessment Using Machine Learning Techniques. Biometrics, 77, 9-22.

ABSTRACT: We introduce the Kernel-based Partial Conditional Mean Dependence, a scalar-valued measure of conditional mean dependence of Y given X , while adjusting for the nonlinear dependence on Z .