A prostate cancer care process example of using data from internet of things

Emmanuel Effiok
,
Enjie Liu
,
Hong Qing Yu
,
Jon Hitchcock

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Sustainable Development Goals

SDG 3 Good Health and Well

Abstract

In this research, we use prostate cancer as an example to describe the idea of using Internet of Things (IoT) technology as part of the care process for chronic diseases. IoT provides ways to monitor and collect critical risk elements data that relate to the causes and development of the disease and its comorbidities, on a real time basis over a long period of time by sensing and communication capacity. The risk models and their evidences are gathered from the literature, and they will be semantically described to support the knowledge to be used by other applications. The personal data collected by IoT devices combined with risk models will provide individual risk prediction. The prediction can be used by patients in self-managing their chronic disease, and also help medical professionals to take in-sight look into the progression of the disease for the individual patient, in order to prescribe the best suitable care plan and treatment.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2303-2308

Publication milestones

Published - 28/12/2015

Publication status

Published - 28/12/2015

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781509001545

External Publication IDs

handle.net: 10547/624358
Scopus: 84964260533

Host publication title

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing