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Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing. / Wilson, Emma Denise; Clairon, Q.; Henderson, Robin; Taylor, C. James.

18th IEEE International Conference on Bioinformatics and Bioengineering. IEEE, 2018. p. 22-27.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Wilson, ED, Clairon, Q, Henderson, R & Taylor, CJ 2018, Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing. in 18th IEEE International Conference on Bioinformatics and Bioengineering. IEEE, pp. 22-27, 18th IEEE International Conference on Bioinformatics and Bioengineering, Taichung, Taiwan, 29/10/18. https://doi.org/10.1109/BIBE.2018.00013

APA

Wilson, E. D., Clairon, Q., Henderson, R., & Taylor, C. J. (2018). Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing. In 18th IEEE International Conference on Bioinformatics and Bioengineering (pp. 22-27). IEEE. https://doi.org/10.1109/BIBE.2018.00013

Vancouver

Wilson ED, Clairon Q, Henderson R, Taylor CJ. Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing. In 18th IEEE International Conference on Bioinformatics and Bioengineering. IEEE. 2018. p. 22-27 https://doi.org/10.1109/BIBE.2018.00013

Author

Wilson, Emma Denise ; Clairon, Q. ; Henderson, Robin ; Taylor, C. James. / Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing. 18th IEEE International Conference on Bioinformatics and Bioengineering. IEEE, 2018. pp. 22-27

Bibtex

@inproceedings{cf2366c960254fa8ae5c633070b7e478,
title = "Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing",
abstract = "A control theory approach to the management of the blood clotting speed using the anticoagulant Warfarin is investigated. Controllers are developed and analysed using hospital data from patients with chronic conditions under Warfarin anticoagulation treatment. Proportional Integral (PI) and Model Predictive (MPC) controllers are used to estimate treatment decisions. These controllers are adapted in a novel manner, to enable their use with missing or irregularly sampled data. The performance of the controllers is evaluated both using a simulation of the system and by retrospectively comparing actual decisions in the data to those suggested by the control algorithms. It is shown that when the blood clotting speed is within a target range, the decisions suggested by the control algorithms are similar to those actually made (by medical staff), so would likely have led to similar desirable outcomes. When the blood clotting speed is outside the desirable range and too high or too low, the control algorithms on average suggest lower, or higher inputs respectively. These suggestions are likely to lead to improved outcomes.",
keywords = "Adaptive Treatment, Anticoagulation, Missing Measurements, Proportional Integral (PI), Model Predictive Control (MPC), Non-Minimum State Space (NMSS)",
author = "Wilson, {Emma Denise} and Q. Clairon and Robin Henderson and Taylor, {C. James}",
year = "2018",
month = "10",
day = "29",
doi = "10.1109/BIBE.2018.00013",
language = "English",
pages = "22--27",
booktitle = "18th IEEE International Conference on Bioinformatics and Bioengineering",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Model predictive and proportional integral control of blood clotting speed using warfarin when data are missing

AU - Wilson, Emma Denise

AU - Clairon, Q.

AU - Henderson, Robin

AU - Taylor, C. James

PY - 2018/10/29

Y1 - 2018/10/29

N2 - A control theory approach to the management of the blood clotting speed using the anticoagulant Warfarin is investigated. Controllers are developed and analysed using hospital data from patients with chronic conditions under Warfarin anticoagulation treatment. Proportional Integral (PI) and Model Predictive (MPC) controllers are used to estimate treatment decisions. These controllers are adapted in a novel manner, to enable their use with missing or irregularly sampled data. The performance of the controllers is evaluated both using a simulation of the system and by retrospectively comparing actual decisions in the data to those suggested by the control algorithms. It is shown that when the blood clotting speed is within a target range, the decisions suggested by the control algorithms are similar to those actually made (by medical staff), so would likely have led to similar desirable outcomes. When the blood clotting speed is outside the desirable range and too high or too low, the control algorithms on average suggest lower, or higher inputs respectively. These suggestions are likely to lead to improved outcomes.

AB - A control theory approach to the management of the blood clotting speed using the anticoagulant Warfarin is investigated. Controllers are developed and analysed using hospital data from patients with chronic conditions under Warfarin anticoagulation treatment. Proportional Integral (PI) and Model Predictive (MPC) controllers are used to estimate treatment decisions. These controllers are adapted in a novel manner, to enable their use with missing or irregularly sampled data. The performance of the controllers is evaluated both using a simulation of the system and by retrospectively comparing actual decisions in the data to those suggested by the control algorithms. It is shown that when the blood clotting speed is within a target range, the decisions suggested by the control algorithms are similar to those actually made (by medical staff), so would likely have led to similar desirable outcomes. When the blood clotting speed is outside the desirable range and too high or too low, the control algorithms on average suggest lower, or higher inputs respectively. These suggestions are likely to lead to improved outcomes.

KW - Adaptive Treatment

KW - Anticoagulation

KW - Missing Measurements

KW - Proportional Integral (PI)

KW - Model Predictive Control (MPC)

KW - Non-Minimum State Space (NMSS)

U2 - 10.1109/BIBE.2018.00013

DO - 10.1109/BIBE.2018.00013

M3 - Conference contribution/Paper

SP - 22

EP - 27

BT - 18th IEEE International Conference on Bioinformatics and Bioengineering

PB - IEEE

ER -