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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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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
T2 - 18th IEEE International Conference on Bioinformatics and Bioengineering
Y2 - 29 October 2018 through 31 October 2018
ER -