10 citations · 10 across the 4 of their papers we have counts for
4 papers
Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications
Elizabeth Remfry, Rafael Henkin, Michael R Barnes +1
Electronic healthcare records (EHR) contain a huge wealth of data that can support the prediction of clinical outcomes. EHR data is often stored and analysed using clinical codes (…
bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data
Alisha Angdembe, Wasim A Iqbal, Rebeen Ali Hamad +6
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal d…
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds +2
Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together. By unde…
Words of Estimative Correlation: Studying Verbalizations of Scatterplots
Rafael Henkin, Cagatay Turkay
Natural language and visualization are being increasingly deployed together for supporting data analysis in different ways, from multimodal interaction to enriched data summaries a…