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 proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
288 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 languageEnglish
Title of host publicationKDD'18
Subtitle of host publicationProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery (ACM)
Pages243-252
Number of pages10
ISBN (Print)9781450355520
DOIs
Publication statusPublished - 19 Jul 2018
Event24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - London, United Kingdom
Duration: 19 Aug 201823 Aug 2018

Conference

Conference24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Abbreviated titleSIGKDD
CountryUnited Kingdom
CityLondon
Period19/08/1823/08/18

Structured keywords

  • Digital Health

Keywords

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

Fingerprint Dive into the research topics of 'Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project'. Together they form a unique fingerprint.

  • Projects

    SPHERE (EPSRC IRC)

    Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Aldamen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.

    1/10/1330/09/18

    Project: Research, Parent

    Cite this

    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