A simple causal model for glucose metabolism in diabetes patients

Kinzang Chhogyal; Abhaya Nayak; Rolf Schwitter; Abdul Sattar

A simple causal model for glucose metabolism in diabetes patients

Kinzang Chhogyal, Abhaya Nayak, Rolf Schwitter, Abdul Sattar

School of Computing

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

Abstract

Employing the theory of belief change, we study the implementation of a simple causal model that can capture how the blood sugar level changes in a diabetes patient. For this purpose we use distance measures between worlds as the underlying mathematical foundation. Using a simple example in the medical domain we investigate how an agent with initially incomplete and/or incorrect knowledge can iteratively develop a simple causal model by interacting with an oracle that represents the complete and correct model of a diabetic patient.

Original language	English
Title of host publication	Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia
Publisher	The Australian e-Health Research Centre
Pages	9-18
Number of pages	10
Publication status	Published - 2011
Event	Australian Workshop on Artificial Intelligence in Health (1st : 2011) - Perth Duration: 5 Dec 2011 → 5 Dec 2011

Workshop

Workshop	Australian Workshop on Artificial Intelligence in Health (1st : 2011)
City	Perth
Period	5/12/11 → 5/12/11

Keywords

belief revision
belief update
causal models
glucose metabolism

Cite this

Chhogyal, K., Nayak, A., Schwitter, R., & Sattar, A. (2011). A simple causal model for glucose metabolism in diabetes patients. In Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia (pp. 9-18). The Australian e-Health Research Centre.

Chhogyal, Kinzang ; Nayak, Abhaya ; Schwitter, Rolf et al. / A simple causal model for glucose metabolism in diabetes patients. Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia. The Australian e-Health Research Centre, 2011. pp. 9-18

@inproceedings{d94ed35b04f54f9bb6eddfc2360ee95c,

title = "A simple causal model for glucose metabolism in diabetes patients",

abstract = "Employing the theory of belief change, we study the implementation of a simple causal model that can capture how the blood sugar level changes in a diabetes patient. For this purpose we use distance measures between worlds as the underlying mathematical foundation. Using a simple example in the medical domain we investigate how an agent with initially incomplete and/or incorrect knowledge can iteratively develop a simple causal model by interacting with an oracle that represents the complete and correct model of a diabetic patient.",

keywords = "belief revision, belief update, causal models, glucose metabolism",

author = "Kinzang Chhogyal and Abhaya Nayak and Rolf Schwitter and Abdul Sattar",

year = "2011",

language = "English",

pages = "9--18",

booktitle = "Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia",

publisher = "The Australian e-Health Research Centre",

note = "Australian Workshop on Artificial Intelligence in Health (1st : 2011) ; Conference date: 05-12-2011 Through 05-12-2011",

}

Chhogyal, K, Nayak, A , Schwitter, R & Sattar, A 2011, A simple causal model for glucose metabolism in diabetes patients. in Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia. The Australian e-Health Research Centre, pp. 9-18, Australian Workshop on Artificial Intelligence in Health (1st : 2011), Perth, 5/12/11.

A simple causal model for glucose metabolism in diabetes patients. / Chhogyal, Kinzang; Nayak, Abhaya ; Schwitter, Rolf et al.
Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia. The Australian e-Health Research Centre, 2011. p. 9-18.

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

TY - GEN

T1 - A simple causal model for glucose metabolism in diabetes patients

AU - Chhogyal, Kinzang

AU - Nayak, Abhaya

AU - Schwitter, Rolf

AU - Sattar, Abdul

PY - 2011

Y1 - 2011

N2 - Employing the theory of belief change, we study the implementation of a simple causal model that can capture how the blood sugar level changes in a diabetes patient. For this purpose we use distance measures between worlds as the underlying mathematical foundation. Using a simple example in the medical domain we investigate how an agent with initially incomplete and/or incorrect knowledge can iteratively develop a simple causal model by interacting with an oracle that represents the complete and correct model of a diabetic patient.

AB - Employing the theory of belief change, we study the implementation of a simple causal model that can capture how the blood sugar level changes in a diabetes patient. For this purpose we use distance measures between worlds as the underlying mathematical foundation. Using a simple example in the medical domain we investigate how an agent with initially incomplete and/or incorrect knowledge can iteratively develop a simple causal model by interacting with an oracle that represents the complete and correct model of a diabetic patient.

KW - belief revision

KW - belief update

KW - causal models

KW - glucose metabolism

M3 - Conference proceeding contribution

SP - 9

EP - 18

BT - Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia

PB - The Australian e-Health Research Centre

T2 - Australian Workshop on Artificial Intelligence in Health (1st : 2011)

Y2 - 5 December 2011 through 5 December 2011

ER -

Chhogyal K, Nayak A , Schwitter R, Sattar A. A simple causal model for glucose metabolism in diabetes patients. In Proceedings of the First Australian Workshop on Artificial Intelligence in Health (AIH 2011), held in conjunction with the 24th Australasian Joint Conference on Artificial Intelligence (AI 2011), 5th December, Perth, Australia. The Australian e-Health Research Centre. 2011. p. 9-18

A simple causal model for glucose metabolism in diabetes patients

Abstract

Workshop

Keywords

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