1 code implementation • 9 Aug 2023 • Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Additionally, the supervised DML model that uses ECGs with access to 8, 172 mPCWP labels demonstrated significantly better performance on the mPCWP regression task compared to the supervised baseline.
no code implementations • 20 Jul 2023 • Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin M. Stultz
However, most existing SSL methods for clinical time series are limited in that they are designed for unimodal time series, such as a sequence of structured features (e. g., lab values and vitals signs) or an individual high-dimensional physiological signal (e. g., an electrocardiogram).
1 code implementation • 9 Apr 2022 • Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John Guttag, Collin M. Stultz
In experiments, considering three datasets and eight predictive tasks, we find that TaskAug is competitive with or improves on prior work, and the learned policies shed light on what transformations are most effective for different tasks.
1 code implementation • 4 Mar 2021 • Aniruddh Raghu, John Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Inference of latent variables in this model corresponds to both making a prediction and providing supporting evidence for that prediction.
no code implementations • 6 Aug 2016 • Yun Liu, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su, Collin M. Stultz, John V. Guttag
Specifically, we use word2vec models trained on a domain-specific corpus to estimate the relevance of each feature's text description to the prediction problem.