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Safety-driven design of machine learning for sepsis treatment., , , , and . J. Biomed. Informatics, (2021)Creative Visualisation Opportunities Workshops: A Case Study in Population Health., , , , and . BELIV, page 11-19. IEEE, (2022)The Role of Explainability in Assuring Safety of Machine Learning in Healthcare., , , and . IEEE Trans. Emerg. Top. Comput., 10 (4): 1746-1760 (2022)Distinguishing two features of accountability for AI technologies., , , , , and . Nat. Mac. Intell., 4 (9): 734-736 (September 2022)The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems., , , , , and . ICHI, page 446-452. IEEE, (2023)Developing a Safety Case for Electronic Prescribing., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 629-633. IOS Press, (2019)Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning., , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 38-42. IOS Press, (2023)Development and piloting of a software tool to facilitate proactive hazard and risk analysis of Health Information Technology., , , , , , and . Health Informatics J., (2020)The Role of Explainability in Assuring Safety of Machine Learning in Healthcare., , , and . CoRR, (2021)Enhancing Covid-19 Decision-Making by Creating an Assurance Case for Simulation Models., , , , , , and . CoRR, (2020)