Releasing eHealth analytics into the wild:Lessons learnt from the SPHERE project
| Autor: | Emma L. Tonkin, Tom Diethe, Miquel Perello Nieto, Mike Holmes, Meelis Kull, Hao Song, Niall Twomey, Peter A. Flach, Kacper Sokol |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Health informatics
Sensor networks business.industry Computer science Sensor applications and deployments 020206 networking & telecommunications Context (language use) Remote medicine 02 engineering and technology Data science Data streaming Analytics SPHERE Machine learning 0202 electrical engineering electronic engineering information engineering eHealth Digital Health 020201 artificial intelligence & image processing Healthcare service business Internet of Things Wireless sensor network |
| Zdroj: | 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 . 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 KDD |
| DOI: | 10.1145/3219819.3219883 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|