1. Machine learning to be used for patient care

    Machine learning to be used for patient care

    One team built a machine-learning approach called ‘ICU Intervene” which takes large amounts of intensive-care-unit data. Doctors of today are often inundated with signals from charts, test results, and other metrics to keep track of. It can be hard to integrate and monitor all of these data for multiple patients while making real-time treatment decisions, especially when data is documented inconsistently across hospitals.

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

    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 (likelihood of death), while this work predicts actionable treatments.
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