1. MIT projects explore machine learning applications to improve EHRs – Chillycon

    MIT projects explore machine learning applications to improve EHRs – Chillycon

    by HealthCareITnews.com MIT projects explore machine learning applications to improve EHRs Two new studies from MIT’s Computer Science and Artificial Intelligence Laboratory shed light on ways machine learning can improve electronic health records and predictive analytics to help physicians make more informed decisions.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Quotes

    1. The system could potentially be an aid for doctors in the ICU, which is a high-stress, high-demand environment.
    2. Much of the previous work in clinical decision-making has focused on outcomes such as mortality, while this work predicts actionable treatments.
    3. Machine-learning models in health care often suffer from low external validity, and poor portability across sites.
  3. Topics Mentioned