Supporting Preliminary Decisions on Patient Requests for Access to Health Records: An Integrated Ethical and Legal Framework. - Scott McLachlan; Kudakwashe Dube; Thomas Gallagher; Jennifer A. Simmonds (ICHI, 2015)

Using the CareMap with Health Incidents Statistics for Generating the Realistic Synthetic Electronic Healthcare Record. - Scott McLachlan; Kudakwashe Dube; Thomas Gallagher (ICHI, 2016)

The ATEN Framework for Creating the Realistic Synthetic Electronic Health Record. - Scott McLachlan; Kudakwashe Dube; Thomas Gallagher; Bridget Daley; Jason Walonoski (HEALTHINF, 2018)

Realistic Synthetic Data Generation: The ATEN Framework. - Scott McLachlan; Kudakwashe Dube; Thomas Gallagher; Jennifer A. Simmonds; Norman E. Fenton (BIOSTEC (Selected Papers), 2018)

Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record. - Jason A. Walonoski; Mark Kramer; Joseph Nichols; Andre Quina; Chris Moesel; Dylan Hall; Carlton Duffett; Kudakwashe Dube; Thomas Gallagher; Scott McLachlan (J. Am. Medical Informatics Assoc., 2018)

Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? - Scott McLachlan; Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton (HEALTHINF, 2019)

Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. - Scott McLachlan; Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton (BIOSTEC (Selected Papers), 2019)

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. - Kudakwashe Dube; Scott McLachlan; Ngonidzashe Zanamwe; Evangelia Kyrimi; Jasmine S. Thomson; Norman E. Fenton (GHTC, 2020)

Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis. - Ali Fahmi; Amy MacBrayne; Evangelia Kyrimi; Scott McLachlan; Frances Humby; William Marsh 001; Costantino Pitzalis (ICHI, 2020)

Real-time Online Probabilistic Medical Computation using Bayesian Networks. - Scott McLachlan; Haydn Paterson; Kudakwashe Dube; Evangelia Kyrimi; Eugene Dementiev; Martin Neil; Bridget J. Daley; Graham A. Hitman; Norman E. Fenton (ICHI, 2020)

Incorporating Clinical Decisions into Standardised Caremaps. - Scott McLachlan; Evangelia Kyrimi; Bridget J. Daley; Kudakwashe Dube; Max Marsden; Sarah Finer; Graham A. Hitman; Norman E. Fenton (ICHI, 2020)

Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. - Bridget J. Daley; Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton; Graham A. Hitman; Scott McLachlan (MIE, 2020)

Bayesian networks in healthcare: Distribution by medical condition. - Scott McLachlan; Kudakwashe Dube; Graham A. Hitman; Norman E. Fenton; Evangelia Kyrimi (Artif. Intell. Medicine, 2020)

Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. - Scott McLachlan; Evangelia Kyrimi; Norman E. Fenton (CoRR, 2020)

Health Information Standardisation as a basis for Learning Health Systems. - Scott McLachlan (CoRR, 2020)

Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law. - Scott McLachlan (CoRR, 2020)

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? - Scott McLachlan; Peter Lucas; Kudakwashe Dube; Graham A. Hitman; Magda Osman; Evangelia Kyrimi; Martin Neil; Norman E. Fenton (CoRR, 2020)

Towards standardisation of evidence-based clinical care process specifications. - Scott McLachlan; Evangelia Kyrimi; Kudakwashe Dube; Graham A. Hitman; Jennifer A. Simmonds; Norman E. Fenton (Health Informatics J., 2020)

Medical idioms for clinical Bayesian network development. - Evangelia Kyrimi; Mariana Raniere Neves; Scott McLachlan; Martin Neil; William Marsh 001; Norman E. Fenton (J. Biomed. Informatics, 2020)

Causal Dynamic Bayesian Networks for the Management of Glucose Control in Gestational Diabetes. - Mariana R. Neves; Bridget J. Daley; Graham A. Hitman; Mohammed S. B. Huda; Scott McLachlan; Sarah Finer; William Marsh 001 (ICHI, 2021)

Bayesian networks in healthcare: What is preventing their adoption? - Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton; Ali Fahmi; Mariana Raniere Neves; William Marsh 001; Scott McLachlan (Artif. Intell. Medicine, 2021)

A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. - Evangelia Kyrimi; Scott McLachlan; Kudakwashe Dube; Mariana R. Neves; Ali Fahmi; Norman E. Fenton (Artif. Intell. Medicine, 2021)

Visualisation of law and legal Process: An opportunity missed. - Scott McLachlan; Lisa C. Webley (Inf. Vis., 2021)

The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. - Scott McLachlan; Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton; Burkhard Schafer 001 (CoRR, 2022)

How might Driver Licensing and Vehicle Registration evolve if we adopt Autonomous Cars and Digital Identification? - Scott McLachlan (CoRR, 2022)

The Chaotic State of UK Drone Regulation. - Scott McLachlan; Kudakwashe Dube; Burkhard Schafer 001; Anthony Gillespie; Norman E. Fenton (CoRR, 2022)

Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. - Scott McLachlan; Martin Neil; Kudakwashe Dube; Ronny Bogani; Norman E. Fenton; Burkhard Schafer 001 (Int. J. Law Inf. Technol., 2022)

Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. - Scott McLachlan; Evangelia Kyrimi; Kudakwashe Dube; Norman E. Fenton; Lisa C. Webley (Artif. Intell. Law, 2023)

Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (BIOSTEC (2), 2024)

Explainable AI: Definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; ExAIDSS Expert Group (CoRR, 2024)

A Bayesian Network model of pregnancy outcomes for England and Wales. - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (Comput. Biol. Medicine, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)