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

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

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.340

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

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

Institute for Research in Applicable Computing (IRAC)

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

3 Citations (Scopus)

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.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2303-2308
ISBN (Print)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.340
Publication status	Published - 28 Dec 2015
Event	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool Duration: 26 Oct 2015 → 28 Oct 2015

Conference

Conference	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
City	Liverpool
Period	26/10/15 → 28/10/15
Other	IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (26/10/2015-28/10/2015, Liverpool)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Disease risk predictive modelling
IoT
Semantic representation

Access to Document

10.1109/CIT/IUCC/DASC/PICOM.2015.340

https://ieeexplore.ieee.org/document/7363386/

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Persistent link

Cite this

@inproceedings{b7dfbdf443d441e8a640ada6a3287c0c,

title = "A prostate cancer care process example of using data from internet of things",

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.",

keywords = "Disease risk predictive modelling, IoT, Semantic representation",

author = "Emmanuel Effiok and Enjie Liu and Yu, \{Hong Qing\} and Jon Hitchcock",

year = "2015",

month = dec,

day = "28",

doi = "10.1109/CIT/IUCC/DASC/PICOM.2015.340",

language = "English",

isbn = "9781509001545",

pages = "2303--2308",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing ; Conference date: 26-10-2015 Through 28-10-2015",

}

Effiok, E, Liu, E, Yu, HQ & Hitchcock, J 2015, A prostate cancer care process example of using data from internet of things. in nan. Institute of Electrical and Electronics Engineers Inc., pp. 2303-2308, IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, Liverpool, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.340

TY - GEN

T1 - A prostate cancer care process example of using data from internet of things

AU - Effiok, Emmanuel

AU - Liu, Enjie

AU - Yu, Hong Qing

AU - Hitchcock, Jon

PY - 2015/12/28

Y1 - 2015/12/28

N2 - 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.

AB - 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.

KW - Disease risk predictive modelling

KW - IoT

KW - Semantic representation

U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.340

DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.340

M3 - Conference contribution

SN - 9781509001545

SP - 2303

EP - 2308

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing

Y2 - 26 October 2015 through 28 October 2015

ER -

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

Abstract

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UN SDGs

Keywords

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