Research output per year
Research output per year
Research output
- 1 - 50 out of 107 results
Search results
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2024
COVID-19 and pregnancy: a comprehensive study of comorbidities and outcomes
Zhou, S.-M., Ahmadi, H., Huo, L., Lix, L., Maslin, K., Latour, J. & Shawe, J., 13 Nov 2024, In: BMC Public Health. 24, 1, p. 3157 1 p., 3157.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Early diagnosis of Parkinson's disease using a hybrid method of least squares support vector regression and fuzzy clustering
Ahmadi, H., Huo, L., Arji, G., Sheikhtaheri, A. & Zhou, S.-M., 26 Aug 2024, In: Biocybernetics and Biomedical Engineering. 44, 3, p. 569-585 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing Diagnostic Accuracy of Drug-Resistant Tuberculosis on Chest X-rays Using Data-Efficient Image Transformers
Mnyambo, J., Aly, A., Zhou, S.-M., Wei, Y., Mullin, S. & Ifeachor, E., 20 Feb 2025. 11 p.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
Open AccessFile -
Signs and symptoms of serious illness in infants aged up to 6 months: rapid review of clinical guidelines
Maramba, I. D. C., Lim, E., Menzies, J. C., Nijman, R., Zhou, S.-M. & Latour, J. M., 29 Jul 2024, In: BMJ Paediatrics Open. 8, 1Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Downloads (Pure) -
The role of ontologies and knowledge in Explainable AI
Confalonieri, R., Kutz, O., Calvanese, D., Alonso-Moral, J. M. & Zhou, S.-M., 4 Oct 2024, In: Semantic Web. 15, 4, p. 933-936 4 p.Research output: Contribution to journal › Editorial
Open AccessFile4 Downloads (Pure) -
2023
A Dual-Based Pruning Method for the Least-Squares Support Vector Machine
Xia, X.-L., Zhou, S.-M., Ouyang, M., Xiang, D., Zhang, Z. & Zhou, Z., 9 Jul 2023, In: IFAC-PapersOnLine. 56, 2Research output: Contribution to journal › Article › peer-review
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Analysing patient-generated data to understand behaviours and characteristics of women with epilepsy of childbearing years: A prospective cohort study
Zhou, S. M., McLean, B., Roberts, E., Baines, R., Hannon, P., Ashby, S., Newman, C., Sen, A., Wilkinson, E., Laugharne, R. & Shankar, R., 12 Apr 2023, In: Seizure. 0, 0Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol
Omisade, O., Gegov, A., Zhou, S. M., Good, A., Tryfona, C., Sengar, S. S., Prior, A. L., Liu, B., Adedeji, T. & Toptan, C., 2023, Intelligent Data Engineering and Analytics. Vol. 0. p. 31-44Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review
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Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study
Zhou, S. M., 15 Mar 2023, In: Aging and Disease. 14, 2Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review
Burnett, B., Zhou, S. M., Brophy, S., Davies, P., Ellis, P., Kennedy, J., Bandyopadhyay, A., Parker, M. & Lyons, R. A., 13 Jan 2023, In: Diagnostics. 13, 2Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
2022
Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework
Huo, L., Bai, L. & Zhou, S. M., Aug 2022, In: IEEE Transactions on Cybernetics. 52, 8, p. 7441-7452Research output: Contribution to journal › Article › peer-review
File13 Downloads (Pure) -
Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users
Almowil, Z., Zhou, S. M., Brophy, S. & Croxall, J., 15 Mar 2022, (E-pub ahead of print).Research output: Working paper › Preprint
File12 Downloads (Pure) -
Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
Zhou, S. M., Lyons, R. A., Rahman, M. A., Holborow, A. & Brophy, S., 10 Jan 2022, In: Journal of Personalized Medicine. 12, 1Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
2021
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records
Duell, J., Fan, X., Burnett, B., Aarts, G. & Zhou, S. M., 27 Jul 2021, In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). 0, 0Research output: Contribution to journal › Conference proceedings published in a journal › peer-review
Open AccessFile13 Downloads (Pure) -
Concept libraries for automatic electronic health record based phenotyping: A review.
Almowil, Z., Zhou, S.-M. & Brophy, S., 16 Jun 2021, In: Int J Popul Data Sci. 6, 1, p. 1362-1362Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users (Preprint)
Almowil, Z., Zhou, S.-M., Brophy, S. & Croxall, J., 7 Jun 2021.Research output: Working paper › Preprint
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ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics
Kapcia, M., Eshkiki, H., Duell, J., Fan, X., Zhou, S. & Mora, B., Nov 2021, In: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). 0, 0Research output: Contribution to journal › Conference proceedings published in a journal › peer-review
Open AccessFile30 Downloads (Pure) -
Identifying Prenatal and Postnatal Determinants of Infant Growth: A Structural Equation Modelling Based Cohort Analysis
Morgan, K., Zhou, S. M., Hill, R., Lyons, R. A., Paranjothy, S. & Brophy, S. T., 29 Sept 2021, In: International Journal of Environmental Research and Public Health. 18, 19, p. 10265-10265Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework
Fernández-Gutiérrez, F., Kennedy, J. I., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L. & Zhou, S. M., 15 Oct 2021, In: Diagnostics. 11, 10, p. 1908-1908Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Downloads (Pure) -
Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records
Tsang, G., Zhou, S. M. & Xie, X., 2021, In: IEEE Journal of Translational Engineering in Health and Medicine. 9, 0, p. 1-13Research output: Contribution to journal › Article › peer-review
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Towards a Shapley Value Graph Framework for Medical peer-influence
Duell, J., Seisenberger, M., Aarts, G., Zhou, S. & Fan, X., 29 Dec 2021.Research output: Working paper › Preprint
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Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis
Zhou, S. M., Chiclana, F., John, R. I., Garibaldi, J. M. & Huo, L., Aug 2021, In: IEEE Transactions on Fuzzy Systems. 29, 8, p. 2112-2121Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
2020
Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges
Tsang, G., Xie, X. & Zhou, S. M., 2020, In: IEEE Reviews in Biomedical Engineering. 13, 0, p. 113-129Research output: Contribution to journal › Article › peer-review
File14 Downloads (Pure) -
2019
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
Raza, H., Rathee, D., Zhou, S. M., Cecotti, H. & Prasad, G., May 2019, In: Neurocomputing. 343, 0, p. 154-166Research output: Contribution to journal › Article › peer-review
File10 Downloads (Pure) -
Machine learning methods in predicting chemotherapy-induced neutropenia in oncology patients using clinical data
Holborow, A., Coupe, B., Davies, M. & Zhou, S., Jun 2019, In: Clinical Medicine. 19, 0, p. 89-90Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Patterns of polypharmacy before diagnosis of dementia: a data-driven, retrospective, population-based study with primary care electronic health records
Longo, E., Huo, L., Burnett, B., Demmler, J., Morris, A., Brophy, S., Lyons, R. & Zhou, S.-M., Nov 2019.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
File8 Downloads (Pure) -
Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
Raza, H., Zhou, S. M., Todd, C., Christian, D., Marchant, E., Morgan, K., Khanom, A., Hill, R., Lyons, R. A. & Brophy, S., Jul 2019, In: Pediatric obesity. 14, 7, p. e12512-e12512Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
2018
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface
Raza, H., Rathee, D., Zhou, S., Cecotti, H. & Prasad, G., 2 May 2018.Research output: Working paper › Preprint
File16 Downloads (Pure) -
Mining electronic health records to identify influential predictors associated with hospital admission of patients with dementia: an artificial intelligence approach
Zhou, S.-M., Tsang, G., Xie, X., Huo, L., Brophy, S. & Lyons, R., Nov 2018.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
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2017
Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study
Zhou, S.-M., Muhammad, R., Lyons, R. & Brophy, S., 18 Apr 2017, (E-pub ahead of print) In: International Journal of Population Data Science. 1, 1Research output: Contribution to journal › Article › peer-review
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Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records
Fernández-Gutiérrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S. & Zhou, S.-M., 13 Apr 2017, (E-pub ahead of print) In: International Journal of Population Data Science. 1, 1Research output: Contribution to journal › Article › peer-review
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Identification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven study
Raza, H., Zhou, S.-M., Hill, R., Lyons, R. & Brophy, S., Nov 2017, In: The Lancet. 390, 0, p. S74-S74Research output: Contribution to journal › Article › peer-review
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Learning Differentially Expressed Gene Pairs in Microarray Data.
Xia, X.-L., Brophy, S. & Zhou, S.-M., 2017, In: Stud Health Technol Inform. 235, 0, p. 191-195Research output: Contribution to journal › Article › peer-review
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Light source detection for digital images in noisy scenes: a neural network approach
Elizondo, D. A., Zhou, S. M. & Chrysostomou, C., May 2017, In: Neural Computing and Applications. 28, 5, p. 899-909Research output: Contribution to journal › Article › peer-review
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Mining electronic health records to identify predictive factors associated with hospital admission for Campylobacter infections
Zhou, S.-M., Muhammad, R., Sheppard, S., Howe, R., Lyons, R. & Brophy, S., Nov 2017.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
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2016
Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis
Zhou, S. M., Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Denaxas, S., Siebert, S., Dixon, W. G., O’Neill, T., Choy, E., Sudlow, C. & Brophy, S., 2 May 2016, (E-pub ahead of print) In: PLoS ONE. 11, 5, p. e0154515-e0154515Research output: Contribution to journal › Article › peer-review
File6 Downloads (Pure) -
2015
Classification of accelerometer wear and non-wear events in seconds for monitoring free-living physical activity
Zhou, S. M., Hill, R. A., Morgan, K., Stratton, G., Gravenor, M. B., Bijlsma, G. & Brophy, S., May 2015, In: BMJ Open. 5, 5, p. e007447-e007447Research output: Contribution to journal › Article › peer-review
File5 Downloads (Pure) -
Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data
Fernandez-Gutierrez, F., Kennedy, J. I., Zhou, S. M., Cooksey, R., Atkinson, M. & Brophy, S., Oct 2015, In: 2015 International Conference on Industrial Engineering and Systems Management (IESM). 0, 0Research output: Contribution to journal › Conference proceedings published in a journal › peer-review
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Introduction: Advances in IoT research and applications
Wang, P., Valerdi, R., Zhou, S. & Li, L., Apr 2015, In: Information Systems Frontiers. 17, 2, p. 239-241Research output: Contribution to journal › Article › peer-review
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2014
Conversational Interaction Recognition Based on Bodily and Facial Movement
Deng, J., Xie, X. & Zhou, S., 2014, Lecture Notes in Computer Science. Vol. 0. p. 237-245Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Guest Editorial: Special Section on IoT
De, Z. Z., Valerdi, R., Zhou, S. M. & Wang, L., May 2014, In: IEEE Transactions on Industrial Informatics. 10, 2, p. 1413-1416Research output: Contribution to journal › Article › peer-review
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Local Modelling Techniques for Assessing Micro-Level Impacts of Risk Factors in Complex Data: Understanding Health and Socioeconomic Inequalities in Childhood Educational Attainments
Zhou, S. M., Lyons, R. A., Bodger, O. G., John, A., Brunt, H., Jones, K., Gravenor, M. B. & Brophy, S., 19 Nov 2014, (E-pub ahead of print) In: PLoS ONE. 9, 11, p. e113592-e113592Research output: Contribution to journal › Article › peer-review
File7 Downloads (Pure) -
Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts
Zhou, S. M., Rahman, M. A., Atkinson, M. & Brophy, S., Jul 2014, In: 2014 International Joint Conference on Neural Networks (IJCNN). 0, 0Research output: Contribution to journal › Conference proceedings published in a journal › peer-review
File6 Downloads (Pure) -
Physical Activity and Excess Weight in Pregnancy Have Independent and Unique Effects on Delivery and Perinatal Outcomes
Morgan, K. L., Rahman, M. A., Hill, R. A., Zhou, S. M., Bijlsma, G., Khanom, A., Lyons, R. A. & Brophy, S. T., 10 Apr 2014, (E-pub ahead of print) In: PLoS ONE. 9, 4, p. e94532-e94532Research output: Contribution to journal › Article › peer-review
File5 Downloads (Pure) -
Response to Fujita et al.
Brophy, S., Jones, K. H., Rahman, M. A., Zhou, S. M., John, A., Atkinson, M. D., Francis, N., Lyons, R. A. & Dunstan, F., Jan 2014, In: American Journal of Gastroenterology. 109, 1, p. 138-139Research output: Contribution to journal › Article › peer-review
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Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
Mata, F., Pérez, L. G., Zhou, S. M. & Chiclana, F., Mar 2014, In: Knowledge-Based Systems. 58, 0, p. 11-22Research output: Contribution to journal › Article › peer-review
File8 Downloads (Pure) -
Using EEG artifacts for BCI applications
Ma, W., Tran, D., Le, T., Lin, H. & Zhou, S. M., Jul 2014, In: 2014 International Joint Conference on Neural Networks (IJCNN). 0, 0Research output: Contribution to journal › Conference proceedings published in a journal › peer-review
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2013
Association of Diabetes in Pregnancy with Child Weight at Birth, Age 12 Months and 5 Years – A Population-Based Electronic Cohort Study
Morgan, K., Rahman, M., Atkinson, M., Zhou, S. M., Hill, R., Khanom, A., Paranjothy, S. & Brophy, S., 13 Nov 2013, (E-pub ahead of print) In: PLoS ONE. 8, 11, p. e79803-e79803Research output: Contribution to journal › Article › peer-review
File2 Downloads (Pure) -
Correction: Constructing Compact Takagi-Sugeno Rule Systems: Identification of Complex Interactions in Epidemiological Data
Zhou, S.-M., Lyons, R., Brophy, S. & Gravenor, M., 13 Aug 2013, (E-pub ahead of print) In: PLoS ONE. 8, 8Research output: Contribution to journal › Article › peer-review
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Incidence of Campylobacter and Salmonella Infections Following First Prescription for PPI: A Cohort Study Using Routine Data
Brophy, S., Jones, K. H., Rahman, M. A., Zhou, S. M., John, A., Atkinson, M. D., Francis, N., Lyons, R. A. & Dunstan, F., Jul 2013, In: American Journal of Gastroenterology. 108, 7, p. 1094-1100Research output: Contribution to journal › Article › peer-review