activity
20172020
most citedApplication of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data

5 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2020

How to estimate the association between change in a risk factor and a health outcome?

Michail Katsoulis, Alvina G Lai, Dimitra-Kleio Kipourou +8

Estimating the effect of a change in a particular risk factor and a chronic disease requires information on the risk factor from two time points; the enrolment and the first follow…

stat.AP2019

Selective recruitment designs for improving observational studies using electronic health records

James E. Barrett, Aylin Cakiroglu, Catey Bunce +2

Large scale electronic health records (EHRs) present an opportunity to quickly identify suitable individuals in order to directly invite them to participate in an observational stu…

cs.CL2018★ 5 cited

Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data

Spiros Denaxas, Pontus Stenetorp, Sebastian Riedel +3

Electronic health records (EHR) are increasingly being used for constructing disease risk prediction models. Feature engineering in EHR data however is challenging due to their hig…

cs.AI2017★ 3 cited

Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms

Vaclav Papez, Spiros Denaxas, Harry Hemingway

Electronic Health Records are electronic data generated during or as a byproduct of routine patient care. Structured, semi-structured and unstructured EHR offer researchers unprece…

q-bio.QM2017

Evaluating openEHR for storing computable representations of electronic health record phenotyping algorithms

Vaclav Papez, Spiros Denaxas, Harry Hemingway

Electronic Health Records (EHR) are data generated during routine clinical care. EHR offer researchers unprecedented phenotypic breadth and depth and have the potential to accelera…