Dr Evangelia Kyrimi

Research

Research Interests:

My research interests lie in Bayesian modelling and decision support under uncertainty in healthcare. I focus on methodologies for eliciting expert knowledge and developing causal graphical models. My research is also about creating explainable AI models. This includes developing algorithms that generate an explanation of the model’s reasoning and allow the user to understand how the model reached a prediction. I am also interested in understanding and bridging the existing gap between developing accurate clinical decision support systems and actually implementing them into practice. 

Publications

• Wohlgemut JM, Kyrimi E, Stoner RS et al. (2021). The outcome of a prediction algorithm should be a true patient state rather than an available surrogate.. nameOfConference

  
  

  DOI: 10.1016/j.jvs.2021.10.059

  
  

  QMRO: qmroHref
• Kyrimi E, McLachlan S, Dube K et al. (2021). A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. nameOfConference

  
  

  DOI: 10.1016/j.artmed.2021.102108

  
  

  QMRO: qmroHref
• Kyrimi E, Dube K, Fenton N et al. (2021). Bayesian networks in healthcare: What is preventing their adoption?. nameOfConference

  
  

  DOI: 10.1016/j.artmed.2021.102079

  
  

  QMRO: qmroHref
• Fahmi A, Macbrayne A, Kyrimi E et al. (2020). Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis. nameOfConference

  
  

  DOI: 10.1109/ICHI48887.2020.9374327

  
  

  QMRO: qmroHref
• McLachlan S, Kyrimi E, Daley BJ et al. (2020). Incorporating Clinical Decisions into Standardised Caremaps. nameOfConference

  
  

  DOI: 10.1109/ICHI48887.2020.9374381

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65192
• McLachlan S, Paterson H, Dube K et al. (2020). Real-Time Online Probabilistic Medical Computation using Bayesian Networks. nameOfConference

  
  

  DOI: 10.1109/ICHI48887.2020.9374378

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65191
• Dube K, McLachlan S, Zanamwe N et al. (2020). Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. nameOfConference

  
  

  DOI: 10.1109/GHTC46280.2020.9342880

  
  

  QMRO: qmroHref
• Kyrimi E, Raniere Neves M, Mclachlan S et al. (2020). Medical idioms for clinical Bayesian network development. nameOfConference

  
  

  DOI: 10.1016/j.jbi.2020.103495

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65612
• Daley BJ, Kyrimi E, Dube K et al. (2020). Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. nameOfConference

  
  

  DOI: 10.3233/SHTI200381

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65604
• McLachlan S, Dube K, Hitman GA et al. (2020). Bayesian networks in healthcare: Distribution by medical condition. nameOfConference

  
  

  DOI: 10.1016/j.artmed.2020.101912

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65190
• McLachlan S, Kyrimi E, Dube K et al. (2020). Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. 2th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF

  
  

  DOI: 10.1007/978-3-030-46970-2_21

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/65189
• McLachlan S, Kyrimi E, Dube K et al. (2020). Towards standardisation of evidence-based clinical care process specifications. nameOfConference

  
  

  DOI: 10.1177/1460458220906069

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/64142
• Kyrimi E, Mossadegh S, Tai N et al. (2020). An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. nameOfConference

  
  

  DOI: 10.1016/j.artmed.2020.101812

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/69918
• Mclachlan S, Dube K, KYRIMI E et al. (2019). LAGOS: Learning Health Systems and how they can integrate with patient care. nameOfConference

  
  

  DOI: 10.1136/bmjhci-2019-100037

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/60436
• MCLACHLAN S, KYRIMI E, FENTON N et al. (2019). Clinical Caremap Development: How can caremaps standardise care when they are not standardised?. HEALTHINF 2019

  
  

  DOI: 10.5220/0007522601230134

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/56709
• Scattergood S, Marsden M, Kyrimi E et al. (2019). Combined ultrasound and Sestamibi scintigraphy provides accurate preoperative localisation for patients with primary hyperparathyroidism. nameOfConference

  
  

  DOI: 10.1308/rcsann.2018.0158

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58565
• Goujon S, Kyrimi E, Faure L et al. (2018). Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry. nameOfConference

  
  

  DOI: 10.1002/cam4.1774

  
  

  QMRO: qmroHref
• MARSH DWR, Kyrimi E (publicationYear). A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making. Conference on Probabilistic Graphical Models

  
  

  DOI: doi

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/15046
• Mossadegh S, Kyrimi E, Marsh W et al. (2016). Implementation science: a Bayesian prediction tool for acute traumatic coagulopathy. Society of Academic and Research Surgery Annual Meeting

  
  

  DOI: 10.1002/bjs.10158

  
  

  QMRO: qmroHref
• Kyrimi E (2015). Méthodes de détection d’excès localisés d’incidence des leucémies de l’enfant. nameOfConference

  
  

  DOI: 10.1016/j.respe.2015.02.011

  
  

  QMRO: qmroHref