Book Chapters
McLachlan et al (2020)
McLachlan S., Kyrimi E., Dube K., Fenton N. (2020) Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. In: Roque A. et al. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham. DOI: 10.1007/978-3-030-46970-2_21
McLachlan et al (2019)
Scott McLachlan, Kudakwashe Dube, Thomas Gallagher, Jennifer A Simmonds and Norman Fenton (2019). Realistic Synthetic Data Generation: The ATEN Framework. In book: A. Cliquet Jr. et al. (Eds.), Biomedical Engineering Systems and Technologies (BIOSTEC) 2018, Communications in Computer and Information Science (CCIS), Volume 1024: pp. 497 ‐ 523. Springer Nature, Switzerland, AG. DOI: 10.1007/978-3-030-29196-9_25
Alavizadeh et al (2017)
Hooman Alavizadeh, Hootan Alavizadeh, Kudakwashe Dube, Dong Seong Kim, Julian Jang-Jaccard, Hans W. Guesgen: A Secure Server-Based Pseudorandom Number Generator Protocol for Mobile Devices. In Book: Liu, Joseph K., Samarati, Pierangela (Eds.), Information Security Practice and Experience, 12/2017: pages 860-876; ISBN: 978-3-319-72358-7, DOI:10.1007/978-3-319-72359-4_54
Dube and Wu (2001)
Kudakwashe Dube, Bing Wu (2001). Specification, Execution and Management of Clinical Test Ordering Protocols: a Database Approach. In Book Series: Barbara Heller, Markus Loffler, Mark Musen, Mario Stefanelli (eds); Studies in Health Technology and Informatics, Volume 83: Computer-Based Support for Clinical Guidelines and Protocols, pp.: 31 – 42. ISBN: 978-1-58603-193-0 (print) | 978-1-60750-927-1 (online) DOI: 10.3233/978-1-60750-927-1-31 [ Publisher URL ] [ PDF ]
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- HIKER Group Presents at IEEE GHTC 2020
- Bayesian Networks in Healthcare: What is preventing their adoption?
- A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing
- Dr Scott McLachlan on UK Government’s latest about-face on the NHS Contact Tracing App
- New journal article: Bayesian Networks in Healthcare: Distribution by Medical Condition