Mhealth visual Discovery Dashboard

Dezhi Fang; Minsuk Kahng; Fred Hohman; Moushumi Sharmin; Peter Polack; Mustafa Al'Absi; Hillol Sarker; Duen Horng Chau

doi:10.1145/3123024.3123170

Mhealth visual Discovery Dashboard

Dezhi Fang, Minsuk Kahng, Fred Hohman, Moushumi Sharmin, Peter Polack, Mustafa Al'Absi, Hillol Sarker, Duen Horng Chau

Biobehavioral Health and Population Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

We present Discovery Dashboard, a visual analytics system for exploring large volumes of time series data from mobile medical field studies. Discovery Dashboard offers interactive exploration tools and a data mining motif discovery algorithm to help researchers formulate hypotheses, discover trends and patterns, and ultimately gain a deeper understanding of their data. Discovery Dashboard emphasizes user freedom and flexibility during the data exploration process and enables researchers to do things previously challenging or impossible to do - in the web-browser and in real time. We demonstrate our system visualizing data from a mobile sensor study conducted at the University of Minnesota that included 52 participants who were trying to quit smoking.

Original language	English (US)
Title of host publication	UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
Publisher	Association for Computing Machinery, Inc
Pages	237-240
Number of pages	4
ISBN (Electronic)	9781450351904
DOIs	https://doi.org/10.1145/3123024.3123170
State	Published - Sep 11 2017
Event	2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States Duration: Sep 11 2017 → Sep 15 2017

Publication series

Name	UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Other

Other	2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
Country/Territory	United States
City	Maui
Period	9/11/17 → 9/15/17

Bibliographical note

Funding Information:
We thank Soni Rraklli and Dayna Schleppenbach for co-ordination of the study and data collection, and Andrine Lemieux for data preparation. Research supported by grant U54EB020404, awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) through funds from the trans-NIH Big Data to Knowledge (BD2K) initiative, and by the NSF GRFP under Grant No. DGE-1148903.

Publisher Copyright:
Copyright © 2017 ACM.

Keywords

Health informatics
Motif discovery
Time series data
Visual analytics

Access

10.1145/3123024.3123170

http://europepmc.org/articles/pmc5771481

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Cite this

Fang, D., Kahng, M., Hohman, F., Sharmin, M., Polack, P., Al'Absi, M., Sarker, H., & Chau, D. H. (2017). Mhealth visual Discovery Dashboard. In UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 237-240). (UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers). Association for Computing Machinery, Inc. https://doi.org/10.1145/3123024.3123170

Mhealth visual Discovery Dashboard. / Fang, Dezhi; Kahng, Minsuk; Hohman, Fred et al.
UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2017. p. 237-240 (UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fang, D, Kahng, M, Hohman, F, Sharmin, M, Polack, P, Al'Absi, M, Sarker, H & Chau, DH 2017, Mhealth visual Discovery Dashboard. in UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, Association for Computing Machinery, Inc, pp. 237-240, 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, United States, 9/11/17. https://doi.org/10.1145/3123024.3123170

Fang D, Kahng M, Hohman F, Sharmin M, Polack P, Al'Absi M et al. Mhealth visual Discovery Dashboard. In UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc. 2017. p. 237-240. (UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers). doi: 10.1145/3123024.3123170

Fang, Dezhi ; Kahng, Minsuk ; Hohman, Fred et al. / Mhealth visual Discovery Dashboard. UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2017. pp. 237-240 (UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers).

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Mhealth visual Discovery Dashboard

Abstract

Publication series

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Bibliographical note

Keywords

Access

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