preprocessed sleep health and lifestyle analysis dataset
Abstract
The Sleep Health and Lifestyle dataset captures information about individuals’ sleep patterns, health metrics, and lifestyle factors. It has been preprocessed to remove duplicates, handle missing values, treat outliers, encode categorical variables, and scale numeric features. Purpose: To analyze how lifestyle factors affect sleep quality. To build predictive models for sleep quality. To provide insights for improving sleep health
Fields of Study & Subjects
Sleep and related disorders
Artificial Intelligence in Healthcare
Obstructive Sleep Apnea Research
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 11 February 2026
- Language
- EN
- Document type
- Dataset