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All Outputs (9)

Comparison of algorithms that detect drug side effects using electronic healthcare databases (2013)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2013). Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17(12), https://doi.org/10.1007/s00500-013-1097-4

The electronic healthcare databases are starting to become more readily available and are thought to have excellent potential for generating adverse drug reaction signals. The Health Improvement Network (THIN) database is an electronic healthcare dat... Read More about Comparison of algorithms that detect drug side effects using electronic healthcare databases.

A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery (2013)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2014). A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE Journal of Biomedical and Health Informatics, 18(2), 537-547. https://doi.org/10.1109/JBHI.2013.2281505

Drugs are frequently prescribed to patients with the aim of improving each patient's medical state, but an unfortunate consequence of most prescription drugs is the occurrence of undesirable side effects. Side effects that occur in more than one in a... Read More about A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery.

Artificial Immune Systems (2013)
Book Chapter
Aickelin, U., Dasgupta, D., & Gu, F. (2014). Artificial Immune Systems. In E. Burke, & G. Kendall (Eds.), Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition (187-211). Springer. https://doi.org/10.1007/978-1-4614-6940-7_7

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distribu... Read More about Artificial Immune Systems.

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective (2013)
Journal Article
Figueredo, G. P., Siebers, P., & Aickelin, U. (2013). Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinformatics, 14(Spl. 6), Article S6. https://doi.org/10.1186/1471-2105-14-S6-S6

Many advances in research regarding immuno-interactions with cancer were developed with the help of ordinary differential equation (ODE) models. These models, however, are not effectively capable of representing problems involving individual localisa... Read More about Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.

Theoretical formulation and analysis of the deterministic dendritic cell algorithm (2013)
Journal Article
Gu, F., Greensmith, J., & Aickelin, U. (2013). Theoretical formulation and analysis of the deterministic dendritic cell algorithm. BioSystems, 111(2), 127-135. https://doi.org/10.1016/j.biosystems.2013.01.001

As one of the emerging algorithms in the field of artificial immune systems (AIS), the dendritic cell algorithm (DCA) has been successfully applied to a number of challenging real-world problems. However, one criticism is the lack of a formal definit... Read More about Theoretical formulation and analysis of the deterministic dendritic cell algorithm.

Towards a more systematic approach to secure systems design and analysis (2013)
Journal Article
Miller, S., Appleby, S., Garibaldi, J. M., & Aickelin, U. (2013). Towards a more systematic approach to secure systems design and analysis. International Journal of Secure Software Engineering, 4(1), https://doi.org/10.4018/jsse.2013010102

The task of designing secure software systems is fraught with uncertainty, as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, experts may interpret the security ri... Read More about Towards a more systematic approach to secure systems design and analysis.

Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data (2013)
Journal Article
Liu, Y., Aickelin, U., Feyereisl, J., & Durrant, L. G. (2013). Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data. Knowledge-Based Systems, 37, https://doi.org/10.1016/j.knosys.2012.09.011

Biomarkers which predict patient’s survival can play an important role in medical diagnosis and treatment. How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis. In this paper a novel method is... Read More about Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data.

Measuring the directional distance between fuzzy sets (2013)
Conference Proceeding
McCulloch, J., Wagner, C., & Aickelin, U. (2013). Measuring the directional distance between fuzzy sets.

The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory. However, current distance measures within the literature do not account for the direction of change between fuzzy sets; a useful concept in a variety of app... Read More about Measuring the directional distance between fuzzy sets.

Attributes for causal inference in electronic healthcare databases (2013)
Conference Proceeding
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2013). Attributes for causal inference in electronic healthcare databases.

Side effects of prescription drugs present a serious issue. Existing algorithms that detect side effects generally require further analysis to confirm causality. In this paper we investigate attributes based on the Bradford-Hill causality criteria... Read More about Attributes for causal inference in electronic healthcare databases.