4 papers
What do we mean when we say we are clustering multimorbidity?
Sohan Seth, Nazir Lone, Niels Peek +1
Clustering multimorbidity has been a global research priority in recent years. Existing studies usually identify these clusters using one of several popular clustering methods and…
Understanding algorithmic fairness for clinical prediction in terms of subgroup net benefit and health equity
Jose Benitez-Aurioles, Alice Joules, Irene Brusini +2
There are concerns about the fairness of clinical prediction models. 'Fair' models are defined as those for which their performance or predictions are not inappropriately influence…
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters
Warren Del-Pinto, George Demetriou, Meghna Jani +7
Coding of unstructured clinical free-text to produce interoperable structured data is essential to improve direct care, support clinical communication and to enable clinical resear…
Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches
Alexander Pate, Matthew Sperrin, Richard D. Riley +9
Introduction. There is currently no guidance on how to assess the calibration of multistate models used for risk prediction. We introduce several techniques that can be used to pro…