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Derek Linkens
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11
Abbod, Maysam
10
Mahfouf, Mahdi
8
Asbury, AJ
7
Hamdy, Freddie
7
catto, james
6
Mason, David
5
Edwards, ND
3
Angel, A
3
Kwok, Hoi Fei
3
Mills, Gary
3
Reilly, CS
3
Ross, JJ
3
Ting, CH
3
Vefghi, L
2
Nunes, Catarina
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All Publications
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2009: Abbod Maysam F; Hamdy Freddie C; Linkens Derek A; Catto James Wf
Predictive modeling in cancer: where systems biology meets the stock market.
Expert review of anticancer therapy 2009;9(7):867-70.
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2009: Catto James W F; Abbod Maysam F; Linkens Derek A; Larré Stéphane; Rosario Derek J; Hamdy Freddie C
Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder.
Clinical cancer research : an official journal of the American Association for Cancer Research 2009;15(9):3150-5.
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2007: Abbod Maysam F; Catto James W F; Linkens Derek A; Hamdy Freddie C
Application of artificial intelligence to the management of urological cancer.
The Journal of urology 2007;178(4 Pt 1):1150-6.
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2007: Yates David R; Rehman Ishtiaq; Abbod Maysam F; Meuth Mark; Cross Simon S; Linkens Derek A; Hamdy Freddie C; Catto James W F
Promoter hypermethylation identifies progression risk in bladder cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research 2007;13(7):2046-53.
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2006: El-Samahy Emad; Mahfouf Mahdi; Linkens Derek A
A closed-loop hybrid physiological model relating to subjects under physical stress.
Artificial intelligence in medicine 2006;38(3):257-74.
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2006: Catto James W F; Abbod Maysam F; Linkens Derek A; Hamdy Freddie C
Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
The Journal of urology 2006;175(2):474-9.
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2006: Abbod M F; Linkens D A; Catto J W F; Hamdy F C
Comparative study of intelligent models for the prediction of bladder cancer progression.
Oncology reports 2006;15 Spec no.():1019-22.
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2005: Nunes Catarina S; Mahfouf Mahdi; Linkens Derek A; Peacock John E
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms. Part I. Classification of depth of anaesthesia and development of a patient model.
Artificial intelligence in medicine 2005;35(3):195-206.
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2005: Mahfouf Mahdi; Nunes Catarina S; Linkens Derek A; Peacock John E
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms Part II. Closed-loop control of simultaneous administration of propofol and remifentanil.
Artificial intelligence in medicine 2005;35(3):207-13.
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2004: Kwok H F; Linkens D A; Mahfouf M; Mills G H
Adaptive ventilator FiO2 advisor: use of non-invasive estimations of shunt.
Artificial intelligence in medicine 2004;32(3):157-69.
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2004: Dounias George; Linkens Derek
Adaptive systems and hybrid computational intelligence in medicine.
Artificial intelligence in medicine 2004;32(3):151-5.
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2004: Ting C H; Arnott R H; Linkens D A; Angel A
Migrating from target-controlled infusion to closed-loop control in general anaesthesia.
Computer methods and programs in biomedicine 2004;75(2):127-39.
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2004: Kwok Hoi-Fei; Linkens Derek A; Mahfouf Mahdi; Mills Gary H
SIVA: a hybrid knowledge-and-model-based advisory system for intensive care ventilators.
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society 2004;8(2):161-72.
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2003: Kwok H F; Linkens D A; Mahfouf M; Mills G H
Rule-base derivation for intensive care ventilator control using ANFIS.
Artificial intelligence in medicine 2003;29(3):185-201.
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2003: Catto James W F; Linkens Derek A; Abbod Maysam F; Chen Minyou; Burton Julian L; Feeley Kenneth M; Hamdy Freddie C
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
Clinical cancer research : an official journal of the American Association for Cancer Research 2003;9(11):4172-7.
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2003: Ting C H; Angel A; Linkens D A
Neuronal network modelling of the effects of anaesthetic agents on somatosensory pathways.
Biological cybernetics 2003;88(2):99-107.
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2003: Mahfouf M; Abbod M F; Linkens D A
Online elicitation of Mamdani-type fuzzy rules via TSK-based generalized predictive control.
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society 2003;33(3):465-75.
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2002: Abbod M F; Linkens D A; Mahfouf M; Dounias G
Survey on the use of smart and adaptive engineering systems in medicine.
Artificial intelligence in medicine 2002;26(3):179-209.
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2002: MacDonald A J; Rostami-Hodjegan A; Tucker G T; Linkens D A
Analysis of solvent central nervous system toxicity and ethanol interactions using a human population physiologically based kinetic and dynamic model.
Regulatory toxicology and pharmacology : RTP 2002;35(2 Pt 1):165-76.
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2001: Linkens D A; Mahfouf M
The intelligent systems in biomedicine laboratory in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK.
Artificial intelligence in medicine 2001;21(1-3):171-6.
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2001: Mahfouf M; Abbod M F; Linkens D A
A survey of fuzzy logic monitoring and control utilisation in medicine.
Artificial intelligence in medicine 2001;21(1-3):27-42.
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2000: Angel A; Arnott R H; Linkens D A; Ting C H
Somatosensory evoked potentials for closed-loop control of anaesthetic depth using propofol in the urethane-anaesthetized rat.
British journal of anaesthesia 2000;85(3):431-9.
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2000: Linkens D A; Abbod M F; Browne A; Cade N
Intelligent control of a cryogenic cooling plant based on blackboard system architecture.
ISA transactions 2000;39(3):327-43.
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1999: Mason D G; Ross J J; Edwards N D; Linkens D A; Reilly C S
Self-learning fuzzy control with temporal knowledge for atracurium-induced neuromuscular block during surgery.
Computers and biomedical research, an international journal 1999;32(3):187-97.
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1999: Vefghi L; Linkens D A
Dynamic monitoring and control of patient anaesthetic and dose levels: time-delay, moving-average neural networks, and principal components analysis.
Computer methods and programs in biomedicine 1999;59(2):91-106.
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1999: Vefghi L; Linkens D A
Internal representation in neural networks used for classification of patient anaesthetic states and dosage.
Computer methods and programs in biomedicine 1999;59(2):75-89.
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1997: Linkens D A; Vefghi L
Recognition of patient anaesthetic levels: neural network systems, principal components analysis, and canonical discriminant variates.
Artificial intelligence in medicine 1997;11(2):155-73.
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1997: Mason D G; Ross J J; Edwards N D; Linkens D A; Reilly C S
Self-learning fuzzy control of atracurium-induced neuromuscular block during surgery.
Medical & biological engineering & computing 1997;35(5):498-503.
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1997: Ross J J; Mason D G; Linkens D A; Edwards N D
Self-learning fuzzy logic control of neuromuscular block.
British journal of anaesthesia 1997;78(4):412-5.
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1996: Mason D G; Linkens D A; Edwards N D; Reilly C S
Development of a portable closed-loop atracurium infusion system: systems methodology and safety issues.
International journal of clinical monitoring and computing 1996;13(4):243-52.
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1996: Mason D G; Swinhoe C F; Linkens D A; Reilly C S
Development of a pharmacokinetic model-based infusion system for ketamine analgesia.
International journal of clinical monitoring and computing 1996;13(3):139-42.
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1996: Mason D G; Edwards N D; Linkens D A; Reilly C S
Performance assessment of a fuzzy controller for atracurium-induced neuromuscular block.
British journal of anaesthesia 1996;76(3):396-400.
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1993: Robb H M; Asbury A J; Gray W M; Linkens D A
Towards a standardized anaesthetic state using isoflurane and morphine.
British journal of anaesthesia 1993;71(3):366-9.
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1993: Greenhow S G; Linkens D A; Asbury A J
Pilot study of an expert system adviser for controlling general anaesthesia.
British journal of anaesthesia 1993;71(3):359-65.
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1993: Rehman H U; Linkens D A; Asbury A J
Neural networks and nonlinear regression modelling and control of depth of anaesthesia for spontaneously breathing and ventilated patients.
Computer methods and programs in biomedicine 1993;40(4):227-47.
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1992: Greenhow S G; Linkens D A; Asbury A J
Development of an expert system advisor for anaesthetic control.
Computer methods and programs in biomedicine 1992;37(3):215-29.
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1992: Linkens D A; Khelfa M
Control strategies for nonlinear dynamics of muscle relaxant anaesthesia.
Computer methods and programs in biomedicine 1992;37(1):1-30.
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1991: Robb H M; Asbury A J; Gray W M; Linkens D A
Towards a standardized anaesthetic state using enflurane and morphine.
British journal of anaesthesia 1991;66(3):358-64.
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1990: Linkens D A; Hasnain S B
Self-organising learning control and its application to muscle relaxant anaesthesia.
Computer methods and programs in biomedicine 1990;33(3):119-34.
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1990: Linkens D A; Hacisalihzade S S
Computer control systems and pharmacological drug administration: a survey.
Journal of medical engineering & technology 1990;14(2):41-54.
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1989: MacLeod A D; Asbury A J; Gray W M; Linkens D A
Automatic control of neuromuscular block with atracurium.
British journal of anaesthesia 1989;63(1):31-5.
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1989: Mansour N E; Linkens D A
A self-tuning Smith predictor applied to the control of blood pressure: simulation studies.
Computer methods and programs in biomedicine 1989;29(1):21-9.
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1986: Asbury A J; Linkens D A
Clinical automatic control of neuromuscular blockade.
Anaesthesia 1986;41(3):316-20.
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1983: Linkens D A; Khelfa M; Nicklin G
Multioscillator simulator for gastrointestinal electrical activity modelling.
Medical & biological engineering & computing 1983;21(5):591-8.
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1981: Asbury A J; Henderson P D; Brown B H; Turner D J; Linkens D A
Effect of diazepam on pancuronium-induced neuromuscular blockade maintained by a feedback system.
British journal of anaesthesia 1981;53(8):859-63.
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