Multitask Learning and Benchmarking with Clinical Time Series Data

@article{Harutyunyan2017MultitaskLA,
  title={Multitask Learning and Benchmarking with Clinical Time Series Data},
  author={Hrayr Harutyunyan and Hrant Khachatrian and David C. Kale and Aram Galstyan},
  journal={CoRR},
  year={2017},
  volume={abs/1703.07771}
}
Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an explosion in digital clinical data available for analysis, but progress in machine learning for healthcare research has been di cult to measure because of the absence of publicly available benchmark data sets. To address this problem, we propose four clinical prediction benchmarks using data derived from the publicly available Medical… CONTINUE READING
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