Correlation Analysis of Nested Consumer Health Data: A New Look at an Old Problem
Author:
Affiliation:
1. Kyoto University of Advanced Science (KUAS),Ubiquitous and Personal Computing Lab, Faculty of Engineering,Kyoto,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754591/9754592/09754805.pdf?arnumber=9754805
Reference8 articles.
1. A Quantified-Self Framework for Exploring and Enhancing Personal Productivity
2. Recognizing Eating Activities in Free-Living Environment Using Consumer Wearable Devices
3. Mining hidden correlations between sleep and lifestyle factors from quantified-self data
4. Framing Self-quantification for Individual-level Preventive Health Care
5. Context-aware Sleep Analysis with Intraday Steps and Heart Rate Time Series Data from Consumer Activity Trackers
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