💤This project aims to develop an automated method for detecting sleep disorders from heart rate signals.
Sleep Disorder Prediction with Multinomial Logistic Regression
Analysis of BMI and its relationship with sleep disorders, blood pressure, and smoking using the NHANES 2017-2018 dataset, with R for statistical Modeling.
The Sleep Health and Lifestyle Dataset comprises 400 rows and 13 columns, covering a wide range of variables related to sleep and daily habits. It includes details such as gender, age, occupation, sleep duration, quality of sleep, physical activity level, stress levels, BMI category, blood pressure, heart rate, daily steps, and sleep disorders.
Network Pathway analysis approach to understanding the comorbidity of Sleep disorders with Autism Spectrum Disorder
An overview of CRD-related projects that are currently being worked on
Use Emacs Org-mode to graph your sleep pattern.
Documentation and code for manipulating sleep diaries
Analyse your sleep diary
A report for use by sleep doctors
Source code for the deep learning models employed in OSAS study
View your sleep diary
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