Items where authors include "de Kamps, M."
Article
Kakampakou, L., Stokes, J., Hoehn, A. et al. (6 more authors) (2025) Simulating hierarchical data to assess the utility of ecological versus multilevel analyses in obtaining individual-level causal effects. BMC Medical Research Methodology, 25. 79. ISSN 1471-2288
Moglia, V., Johnson, O., de Kamps, M. et al. (2 more authors) (2025) Artificial intelligence methods applied to longitudinal health records for prediction of cancer: A scoping review. BMC Medical Research Methodology, 25 (1). ISSN 1471-2288
Broad, A., Wright, A., McGenity, C. et al. (2 more authors) (2024) Object-based Feedback Attention in Convolutional Neural Networks Improves Tumour Detection in Digital Pathology. Scientific Reports, 14. 30400. ISSN 2045-2322
Briggs, E., de Kamps, M., Hamilton, W. et al. (3 more authors) (2022) Machine learning for risk prediction of oesophago-gastric cancer in primary care: comparison with existing risk-assessment tools. Cancers, 14 (20). 5023. ISSN 2072-6694
de Kamps, M., Baier, V., Drever, J. et al. (3 more authors) (2008) The state of MIIND. Neural Networks, 21 (8). pp. 1164-1181. ISSN 0893-6080
Proceedings Paper
Moglia, V. orcid.org/0009-0001-9124-8030, Smith, L., Cook, G. et al. (2 more authors) (2025) Machine Learning Approaches to the Early Detection of Pancreatic Cancer from Time-Series Primary Care Data. In: Artificial Intelligence in Medicine. 23rd International Conference, AIME 2025, 23-26 Jun 2025, Pavia, Italy. Lecture Notes in Computer Science, 15734 . Springer , pp. 313-322. ISBN 978-3-031-95837-3
Aljebreen, A. orcid.org/0000-0002-4746-3446, Pang, A. orcid.org/0009-0008-2930-6077, de Kamps, M. orcid.org/0000-0001-7162-4425 et al. (1 more author) (2025) Predicting Unplanned Hospital Readmissions Using Outcome-Oriented Predictive Process Mining. In: Process Mining Workshops. 6th International Conference on Process Mining (ICPM 2024), 14-18 Oct 2024, Copenhagen, Denmark. Lecture Notes in Business Information Processing, 533 . Springer , pp. 421-433. ISBN 9783031822247