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ItemDetect adverse drug reactions for the drug Pravastatin(IEEE, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects from high-throughput medical data, which are collected from day to day clinical practice. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pravastatin. Major side effects for the drug are detected. The detected ADRs are based on computerized method, further investigation is needed.
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ItemDetect adverse drug reactions for drug Alendronate(IEEE Control Chapter, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Alendronate. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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ItemDetect adverse drug reactions for drug Simvastatin(IEEE, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Simvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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ItemDetect adverse drug reactions for drug Pioglitazone(IEEE, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pioglitazone. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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ItemDetect adverse drug reactions for drug Atorvastatin(IEEE, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Atorvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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ItemDetect Adverse Drug Reactions for Drug Aspirin(IEEE, 2012)Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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ItemModelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation( 2011)Simulation is a well established what-if scenario analysis tool in Operational Research (OR). While traditionally Discrete Event Simulation (DES) and System Dynamics Simulation (SDS) are the predominant simulation techniques in OR, a new simulation technique, namely Agent-Based Simulation (ABS), has emerged and is gaining more attention. In our research we focus on discrete simulation methods (i.e. DES and ABS). The contribution made by this paper is the comparison of DES and combined DES/ABS for modelling human reactive and different level of detail of human proactive behaviour in service systems. The results of our experiments show that the level of proactiveness considered in the model has a big impact on the simulation output. However, there is not a big difference between the results from the DES and the combined DES/ABS simulation models. Therefore, for service systems of the type we investigated we would suggest to use DES as the preferred analysis tool.
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ItemTowards modelling cost and risks of infrequent events in the cargo screening process( 2010-01-01)We introduce a simulation model of the port of Calais with a focus on the operation of immigration controls. Our aim is to compare the cost and benefits of different screening policies. Methodologically, we are trying to understand the limits of discrete event simulation of rare events. When will they become “too rare” for simulation to give meaningful results?
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ItemB1 Insensitive Genetically Altered Refocusing Pulses for Ultrahigh Field Spin Echo Imaging(ISMRM, 2010)B1 inhomogeneity at ultrahigh field limits the use of spin echo pulses. In the past adiabatic refocusing pulses have been proposed to provide B1 insensitivity but are generally rather long for imaging applications. Urgurbil et al. [1] proposed the use of a Numerically Optimised Modulation (NOM) scheme to improve the adiabaticity over the whole length of a BIR4 pulse and this method provides better performance for shorter pulses. NOM resamples the AM and FM functions with reference to the adiabatic condition and is restricted to looking at on-resonance effects. Following from this work, we attempted to optimize the resampling function via a Genetic Algorithm. The evaluation function considers B1 and B0 inhomogeneities to tailor the optimization to 7T conditions, requiring the study of off-resonance behaviour. The evaluation considered spectral profiles (from -150Hz to 150Hz off resonance), across a range of maximum RF amplitude, generated using a Bloch Equation Simulator. The length of the pulse became a variable, constrained to allow practical implementation of the pulses.
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ItemTailored Shaping and Time Resampling Functions for Inversion Pulses at 7T(ISMRM, 2009)The RF transmit field is severely inhomogeneous at ultrahigh field, due to both RF penetration and RF coil design issues. Here we utilised a search algorithm to produce inversion pulses tailored to take account of the heterogeneity of the RF transmit field at 7T. We created a slice selective inversion pulse which worked well over the range of RF amplitudes, while maintaining an experimentally achievable pulse length at 7T. The pulses were based on the FOCI technique as well as time dilation of functions but the RF amplitude, frequency sweep and gradient functions were all optimised using a Genetic Algorithm.