Progressive monitoring and treatment planning of diabetes mellitus in smart home environment

Topi Pulkkinen; Young-Sung Son; Joohyung Lee; Yann-Hang Lee; Mikko Sallinen; Jun-Hee Park

doi:10.1109/ICCE.2013.6486860

Progressive monitoring and treatment planning of diabetes mellitus in smart home environment

Topi Pulkkinen, Young-Sung Son, Joohyung Lee, Yann-Hang Lee, Mikko Sallinen, Jun-Hee Park

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

11 Citations (Scopus)

Abstract

This paper describes a method and a platform for generating a treatment plan for a patient with a chronic disease such as diabetes. The planning process considers the user's living environment so the doctor's prescription can be easily implemented as a monitored activity. The process utilizes OWL representation for the knowledge modeling and Answer Set Programming for managing the patient's goals.

Original language	English
Title of host publication	IEEE International Conference on Consumer Electronics ICCE 2013
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	206-207
ISBN (Electronic)	978-1-4673-1363-6
ISBN (Print)	978-1-4673-1361-2
DOIs	https://doi.org/10.1109/ICCE.2013.6486860
Publication status	Published - 2013
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, United States Duration: 11 Jan 2013 → 14 Jan 2013

Conference

Conference	IEEE International Conference on Consumer Electronics, ICCE 2013
Abbreviated title	ICCE 2013
Country/Territory	United States
City	Las Vegas
Period	11/01/13 → 14/01/13

UN SDGs

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

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10.1109/ICCE.2013.6486860

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title = "Progressive monitoring and treatment planning of diabetes mellitus in smart home environment",

abstract = "This paper describes a method and a platform for generating a treatment plan for a patient with a chronic disease such as diabetes. The planning process considers the user's living environment so the doctor's prescription can be easily implemented as a monitored activity. The process utilizes OWL representation for the knowledge modeling and Answer Set Programming for managing the patient's goals.",

author = "Topi Pulkkinen and Young-Sung Son and Joohyung Lee and Yann-Hang Lee and Mikko Sallinen and Jun-Hee Park",

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booktitle = "IEEE International Conference on Consumer Electronics ICCE 2013",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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note = "IEEE International Conference on Consumer Electronics, ICCE 2013, ICCE 2013 ; Conference date: 11-01-2013 Through 14-01-2013",

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Pulkkinen, T, Son, Y-S, Lee, J, Lee, Y-H, Sallinen, M & Park, J-H 2013, Progressive monitoring and treatment planning of diabetes mellitus in smart home environment. in IEEE International Conference on Consumer Electronics ICCE 2013. IEEE Institute of Electrical and Electronic Engineers, pp. 206-207, IEEE International Conference on Consumer Electronics, ICCE 2013, Las Vegas, Nevada, United States, 11/01/13. https://doi.org/10.1109/ICCE.2013.6486860

Progressive monitoring and treatment planning of diabetes mellitus in smart home environment. / Pulkkinen, Topi; Son, Young-Sung; Lee, Joohyung et al.
IEEE International Conference on Consumer Electronics ICCE 2013. IEEE Institute of Electrical and Electronic Engineers, 2013. p. 206-207.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Progressive monitoring and treatment planning of diabetes mellitus in smart home environment

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AU - Son, Young-Sung

AU - Lee, Joohyung

AU - Lee, Yann-Hang

AU - Sallinen, Mikko

AU - Park, Jun-Hee

PY - 2013

Y1 - 2013

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AB - This paper describes a method and a platform for generating a treatment plan for a patient with a chronic disease such as diabetes. The planning process considers the user's living environment so the doctor's prescription can be easily implemented as a monitored activity. The process utilizes OWL representation for the knowledge modeling and Answer Set Programming for managing the patient's goals.

U2 - 10.1109/ICCE.2013.6486860

DO - 10.1109/ICCE.2013.6486860

M3 - Conference article in proceedings

SN - 978-1-4673-1361-2

SP - 206

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BT - IEEE International Conference on Consumer Electronics ICCE 2013

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE International Conference on Consumer Electronics, ICCE 2013

Y2 - 11 January 2013 through 14 January 2013

ER -

Progressive monitoring and treatment planning of diabetes mellitus in smart home environment

Abstract

Conference

UN SDGs

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