Clustering and Feature Analysis of Smartphone Data for Depression Monitoring-Reference-Cited by-同舟云学术

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Clustering and Feature Analysis of Smartphone Data for Depression Monitoring

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Nguyen Binh,Kolappan Sharadha,Bhat Venkat,Krishnan Sridhar

Funder

Ryerson University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9629355/9629471/09629737.pdf?arnumber=9629737

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

2. Personalizing Loneliness Detection Through Behavioral Grouping of Passive Sensing Data From College Students;IEEE Access;2023

3. The Use of Passive Smartphone Data to Monitor Anxiety and Depression Among College Students in Real-World Settings: Protocol for a Systematic Review;JMIR Research Protocols;2022-12-14

4. Digital phenotyping for classification of anxiety severity during COVID-19;Frontiers in Digital Health;2022-10-13

5. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review;Sensors;2022-05-20

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