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Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness


Dec 21, 2018
Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel GM Moons, Gary S Collins, John P. A. Ioannidis, Chris Holmes, Harry Hemingway

* 25 pages, 2 boxes, 1 figure 

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


Nov 28, 2018
Spiros Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard Dobson, Harry Hemingway

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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


Jul 24, 2017
Vaclav Papez, Spiros Denaxas, Harry Hemingway

* Accepted American Medical Informatics Association Annual Symposium 2017 

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Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data


Feb 28, 2017
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick, Aroon Hingorani, Adam Timmis, Harry Hemingway, Spiros C. Denaxas

* Medical Informatics Europe (MIE2017) 

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