Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

Tom Diethe; Miquel Perello Nieto; Emma Tonkin; Mike Holmes; Kacper Sokol; Niall Twomey; Meelis Kull; Hao Song; Peter Flach

doi:10.1145/3219819.3219883

Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

Tom Diethe, Miquel Perello Nieto, Emma Tonkin, Mike Holmes, Kacper Sokol, Niall Twomey, Meelis Kull, Hao Song, Peter Flach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

11 Citations (Scopus)

675 Downloads (Pure)

Abstract

The SPHERE project is devoted to advancing eHealth in a smart-home context, and supports full-scale sensing and data analysis to enable a generic healthcare service. We describe, from a data-science perspective, our experience of taking the system out of the laboratory into more than thirty homes in Bristol, UK. We describe the infrastructure and processes that had to be developed along the way, describe how we train and deploy Machine Learning systems in this context, and give a realistic appraisal of the state of the deployed systems.

Original language	English
Title of host publication	KDD'18
Subtitle of host publication	Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery (ACM)
Pages	243-252
Number of pages	10
ISBN (Print)	9781450355520
DOIs	https://doi.org/10.1145/3219819.3219883
Publication status	Published - 19 Jul 2018
Event	24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - London, United Kingdom Duration: 19 Aug 2018 → 23 Aug 2018

Conference

Conference	24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Abbreviated title	SIGKDD
Country/Territory	United Kingdom
City	London
Period	19/08/18 → 23/08/18

Research Groups and Themes

Digital Health
SPHERE

Keywords

Machine learning
Health informatics
Sensor applications and deployments
Sensor networks
Data streaming
Remote medicine

Access to Document

10.1145/3219819.3219883

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ACM at https://dl.acm.org/citation.cfm?id=3219819.3219883 . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.42 MB

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Diethe, T., Nieto, M. P., Tonkin, E., Holmes, M., Sokol, K., Twomey, N., Kull, M., Song, H., & Flach, P. (2018). Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project. In KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 243-252). Association for Computing Machinery (ACM). https://doi.org/10.1145/3219819.3219883

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title = "Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project",

abstract = "The SPHERE project is devoted to advancing eHealth in a smart-home context, and supports full-scale sensing and data analysis to enable a generic healthcare service. We describe, from a data-science perspective, our experience of taking the system out of the laboratory into more than thirty homes in Bristol, UK. We describe the infrastructure and processes that had to be developed along the way, describe how we train and deploy Machine Learning systems in this context, and give a realistic appraisal of the state of the deployed systems.",

keywords = "Machine learning, Health informatics, Sensor applications and deployments, Sensor networks, Data streaming, Remote medicine",

author = "Tom Diethe and Nieto, {Miquel Perello} and Emma Tonkin and Mike Holmes and Kacper Sokol and Niall Twomey and Meelis Kull and Hao Song and Peter Flach",

year = "2018",

month = jul,

day = "19",

doi = "10.1145/3219819.3219883",

language = "English",

isbn = "9781450355520",

pages = "243--252",

booktitle = "KDD'18",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, SIGKDD ; Conference date: 19-08-2018 Through 23-08-2018",

}

Diethe, T, Nieto, MP , Tonkin, E, Holmes, M, Sokol, K, Twomey, N, Kull, M, Song, H & Flach, P 2018, Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project. in KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), pp. 243-252, 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, United Kingdom, 19/08/18. https://doi.org/10.1145/3219819.3219883

Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project. / Diethe, Tom; Nieto, Miquel Perello ; Tonkin, Emma et al.
KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 2018. p. 243-252.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Sokol, Kacper

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AU - Song, Hao

AU - Flach, Peter

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KW - Data streaming

KW - Remote medicine

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Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

Abstract

Conference

Research Groups and Themes

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

SPHERE (EPSRC IRC)

Cite this

Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project

Abstract

Conference

Research Groups and Themes

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Projects

SPHERE (EPSRC IRC)

Cite this