Imperial College London

DR Ceyda Oksel

Faculty of MedicineDepartment of Medicine

Research Associate in Statistical Machine Learning
 
 
 
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Contact

 

+44 (0)20 7594 3633c.oksel

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

16 results found

Oksel C, Granell R, Mahmoud O, Custovic A, Henderson AJ, STELAR, Breathing Together investigatorset al., 2018, Causes of variability in latent phenotypes of childhood wheeze., J Allergy Clin Immunol

BACKGROUND: Latent class analysis (LCA) has been used extensively to identify (latent) phenotypes of childhood wheezing. However, the number and trajectory of discovered phenotypes differed substantially between studies. OBJECTIVE: We sought to investigate sources of variability affecting the classification of phenotypes, identify key time points for data collection to understand wheeze heterogeneity, and ascertain the association of childhood wheeze phenotypes with asthma and lung function in adulthood. METHODS: We used LCA to derive wheeze phenotypes among 3167 participants in the ALSPAC cohort who had complete information on current wheeze recorded at 14 time points from birth to age 16½ years. We examined the effects of sample size and data collection age and intervals on the results and identified time points. We examined the associations of derived phenotypes with asthma and lung function at age 23 to 24 years. RESULTS: A relatively large sample size (>2000) underestimated the number of phenotypes under some conditions (eg, number of time points <11). Increasing the number of data points resulted in an increase in the optimal number of phenotypes, but an identical number of randomly selected follow-up points led to different solutions. A variable selection algorithm identified 8 informative time points (months 18, 42, 57, 81, 91, 140, 157, and 166). The proportion of asthmatic patients at age 23 to 24 years differed between phenotypes, whereas lung function was lower among persistent wheezers. CONCLUSIONS: Sample size, frequency, and timing of data collection have a major influence on the number and type of wheeze phenotypes identified by using LCA in longitudinal data.

JOURNAL ARTICLE

Oksel C, Haider S, Fontanella S, Frainay C, Custovic Aet al., 2018, Classification of Pediatric Asthma: From Phenotype Discovery to Clinical Practice, FRONTIERS IN PEDIATRICS, Vol: 6, ISSN: 2296-2360

JOURNAL ARTICLE

Nakamura T, Haider S, Colicino S, Fontanella S, Oksel C, Holloway J, Murray C, Simpson A, Cullinan P, Custovic Aet al., 2018, Defining childhood eczema: The variety of operational definition causes divergence in its prevalence estimate and model performance, Congress of the European-Academy-of-Allergy-and-Clinical-Immunology (EAACI), Publisher: WILEY, Pages: 108-109, ISSN: 0105-4538

CONFERENCE PAPER

Oksel C, Custovic A, 2018, Allergy for the Respiratory Pediatrician: Which Tests and Interventions Are Useful?, Publisher: WILEY, Pages: S56-S57, ISSN: 8755-6863

CONFERENCE PAPER

Oksel C, Custovic A, 2018, Development of allergic sensitization and its relevance to paediatric asthma, CURRENT OPINION IN ALLERGY AND CLINICAL IMMUNOLOGY, Vol: 18, Pages: 109-116, ISSN: 1528-4050

JOURNAL ARTICLE

Oksel C, 2017, Accurate and interpretable nanoQSAR models from genetic programming-based decision tree construction approaches, 254th National Meeting and Exposition of the American-Chemical-Society (ACS) on Chemistry's Impact on the Global Economy, Publisher: AMER CHEMICAL SOC, ISSN: 0065-7727

CONFERENCE PAPER

Oksel C, Wang XZ, Wilkins T, Hunt Net al., 2017, RISK MANAGEMENT OF NANOMATERIALS, RISK MANAGEMENT OF NANOMATERIALSGuidelines for the Safe Manufacture and Use of Nanomaterials

Nanotechnology is an emerging field of science and engineering that has already been applied to a variety of industrial fields. Given the ever increasing use of engineered nanomaterials (ENMs) in industry, it is essential to properly assess all potential risks that may occur as a result of exposure to ENMs. It is generally agreed that the distinctive characteristicsof ENMs that have made them superior to bulk materials for particular applications might also have a substantial impact on the level of risk they pose. However, the complexity and large variety of ENMs presents a challenge for the existing general and product-specific regulation. Inorder to facilitate sustainable manufacturing of ENMs, it is desirable to develop transparent and comprehensive tools and best practice guidelines for risk assessment and management.While the risk management of ENMs receives significant attention, there is still a limited understanding of how to select optimal risk management measures (RMMs) for controlling and mitigating the risks associated with exposure to ENMs. Clearly, there exists the need to expand current risk management practices to ensure safe production, handling and use of ENMs. Moreover, the performance of the existing RMMs should be re-evaluated for ENMs since control options that are proven to be effective for preventing or limiting risks associated with traditional particles might give unsatisfactory results in the case of nano-scale particles.This guidance document brings together evidence on the suitability of traditional controls to minimize potential health and environmental risks resulting from exposure to ENMs. The aim is to advance our understanding of the risk management approaches relevant for ENMs, andultimately to support the selection of the most suitable RMMs when handling ENMs. To that end, evaluative evidence collected from the review of relevant literature, published guidelines, technical reports, and survey of nanotechnology institutions are sum

REPORT

Oksel C, Wang XZ, Wilkins T, Ma CY, Liu Jet al., 2017, Literature Review of (Q) SAR Modelling of Nanomaterial Toxicity, Modelling the Toxicity of Nanoparticles, Editors: Tran, Bañares, Rallo

BOOK CHAPTER

Oksel C, Subramanian V, Semenzin E, Ma CY, Hristozov D, Wang XZ, Hunt N, Costa A, Fransman W, Marcomini A, Wilkins Tet al., 2016, Evaluation of existing control measures in reducing health and safety risks of engineered nanomaterials, ENVIRONMENTAL SCIENCE-NANO, Vol: 3, Pages: 869-882, ISSN: 2051-8153

JOURNAL ARTICLE

Oksel C, Winkler DA, Ma CY, Wilkins T, Wang XZet al., 2016, Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches, NANOTOXICOLOGY, Vol: 10, Pages: 1001-1012, ISSN: 1743-5390

JOURNAL ARTICLE

Liu JJ, Oksel C, Wang XZ, Ma CYet al., 2016, Visualization of Multidimensional Data for Nanomaterial Characterization, Nanomaterial Characterization: An Introduction, Editors: Tantra

BOOK CHAPTER

Tantra R, Oksel C, Robinson KN, Sikora A, Wang XZ, Wilkins TAet al., 2015, A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data, PARTICUOLOGY, Vol: 22, Pages: 30-38, ISSN: 1674-2001

JOURNAL ARTICLE

Oksel C, Ma CY, Liu JJ, Wilkins T, Wang XZet al., 2015, (Q)SAR modelling of nanomaterial toxicity: A critical review, PARTICUOLOGY, Vol: 21, Pages: 1-19, ISSN: 1674-2001

JOURNAL ARTICLE

Oksel C, Ma CY, Wang XZ, 2015, Current situation on the availability of nanostructure-biological activity data, SAR AND QSAR IN ENVIRONMENTAL RESEARCH, Vol: 26, Pages: 79-94, ISSN: 1062-936X

JOURNAL ARTICLE

Oksel C, Ma CY, Wang XZ, 2015, Structure-activity relationship models for hazard assessment and risk management of engineered nanomaterials, NEW PARADIGM OF PARTICLE SCIENCE AND TECHNOLOGY, PROCEEDINGS OF THE 7TH WORLD CONGRESS ON PARTICLE TECHNOLOGY, Vol: 102, Pages: 1500-1510, ISSN: 1877-7058

JOURNAL ARTICLE

Tantra R, Oksel C, Puzyn T, Wang J, Robinson KN, Wang XZ, Ma CY, Wilkins Tet al., 2015, Nano(Q)SAR: Challenges, pitfalls and perspectives, NANOTOXICOLOGY, Vol: 9, Pages: 636-642, ISSN: 1743-5390

JOURNAL ARTICLE

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