Search Results for author: Anne Mottram

Found 2 papers, 1 papers with code

Concept-based model explanations for Electronic Health Records

1 code implementation3 Dec 2020 Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin G Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesanlingam, Jessica Schrouff

Recurrent Neural Networks (RNNs) are often used for sequential modeling of adverse outcomes in electronic health records (EHRs) due to their ability to encode past clinical states.

Time Series Time Series Analysis

Learning to Select Best Forecast Tasks for Clinical Outcome Prediction

no code implementations NeurIPS 2020 Yuan Xue, Nan Du, Anne Mottram, Martin Seneviratne, Andrew M. Dai

The paradigm of pretraining' from a set of relevant auxiliary tasks and thenfinetuning' on a target task has been successfully applied in many different domains.

Meta-Learning

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