Lina Kyrimi

[Lina Kyrimi @LinaKyrimi]

🚨 #PhDPosition Available 🚨
Exciting opportunity in Explainable AI in healthcare @Qmul
🌍 Location: London
🧑‍🏫 Supervisor: Dr Evangelia Kyrimi
📅 Deadline: 22 November 2024
🔗 Apply here: https://t.co/Z3iBzvhYed

#PhD #Research #AcademicTwitter #PhDJobs

[Jared Wohlgemut @JWohlgemut]

Excited to share our preprint:

“Explainable AI: Definition and attributes of a good description for health AI”

https://t.co/xmVAFdMAQX…

Congrats @LinaKyrimi + S McLachlan, @david_lagnado @ZBPerkins @WilliamMarsh_QM E Pisirir @MaxMarsden83 @nigeltai @BeccaSarahS @SomayyehM

[Lina Kyrimi @LinaKyrimi]

We have commenced a Delphi study to inform our understanding of what it means for AI to be explainable in healthcare. We welcome expressions of interest and participation from experts from a diverse research background who wish to contribute. https://t.co/cqWjvULBsH

[Lina Kyrimi @LinaKyrimi]

The Causal XAI Workshop is in two weeks!! Come and join us! More info can be found at https://t.co/fI28bGIUOA @WilliamMarsh_QM @david_lagnado

[Lina Kyrimi @LinaKyrimi]

What do you think is the role that causality should play in explainable AI?
To discuss recent research on causal XAI, come and join us this October at the Causal XAI Workshop. https://t.co/fI28bGIUOA
@WilliamMarsh_QM @david_lagnado

[Lina Kyrimi @LinaKyrimi]

https://t.co/ChT22TrZTw

[Prof Norman Fenton @profnfenton]

The full review of #Bayesian networks in healthcare paper led by .@LinaKyrimi and .@Dr_ScottMc available here:
https://t.co/HBWDlhCtk3

[Lina Kyrimi @LinaKyrimi]

@alifahmi90 Congratulations

[Prof Norman Fenton @profnfenton]

Bayesian networks in healthcare: What is preventing their adoption? https://t.co/N9IGXmT5P8

[Prof Norman Fenton @profnfenton]

New review paper by our .@RIM_QMUL research group (lead author .@LinaKyrimi) sheds light on why there has been relatively little adoption of #Bayesian network solutions in healthcare: https://t.co/CgOnT1zDYH

[علی فهمی 🎒 @alifahmi90]

Awarded the Best Student Paper and $500 award for our paper on #BayesianNetworks for diagnosis of #rheumatoidarthritis at @IEEE_ICHI2020 🥳🎉

@MacBramy @LinaKyrimi @Dr_ScottMc @WilliamMarsh_QM #PAMBAYESIAN

[Prof Norman Fenton @profnfenton]

This is a short video demonstrating our group's #COVID19 symptom tracking #Bayesian network model https://t.co/c6LyCd4O9d

[Lina Kyrimi @LinaKyrimi]

@profnfenton Published version available here: https://t.co/j6DeV3Shd0

[Prof Norman Fenton @profnfenton]

Our new paper led by @LinaKyrimi published today in Journal of Biomedical Informatics provides practical guidelines for building effective #BayesianNetwork models for medical decision support. Accepted paper is here: https://t.co/7tL9uDAp9v

[Prof Norman Fenton @profnfenton]

The problem with doing COVID research is that by the time stuff gets published it's already out of date. Anyway here's a piece by our group on policy aspects of contact tracing (we'd predicted problems with the NHS app) https://t.co/DlONvLLVio

[Lina Kyrimi @LinaKyrimi]

Link to our paper on explanation of reasoning in Bayesian Networks @SomayyehM @WilliamMarsh_QM @nigeltai https://t.co/XLavOaxREb

[Prof Norman Fenton @profnfenton]

Causal explanations, error rates, and human judgment biases missing from the COVID-19 narrative and statistics: https://t.co/dcMZ9G1AxX