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[HTML][HTML] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PloS one, 2019 - journals.plos.org
Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …
被引用次数：160 相关文章

[引用][C] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw… - PLoS ONE, 2019 - ui.adsabs.harvard.edu
Analysis and prediction of unplanned intensive care unit readmission using recurrent neural
networks with long short-term memory - NASA/ADS Now on home page ads icon ads Enable …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long shortterm memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PloS one, 2019 - experts.illinois.edu
Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PLoS ONE, 2019 - go.gale.com
Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …
[HTML] nih.gov

[HTML][HTML] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PLoS ONE, 2019 - ncbi.nlm.nih.gov
Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw… - PLOS …, 2019 - econpapers.repec.org
Background: Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …
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[PDF][PDF] Analysis and Prediction of Unplanned Intensive Care Unit Readmission using Recurrent Neural Networks with Long Short-Term Memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - researchgate.net
Background Unplanned readmission of a hospitalized patient is an extremely undesirable
outcome as the patient may have been exposed to additional risks. The rates of unplanned …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - Plos one, 2019 - europepmc.org
Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.

YW Lin, Y Zhou, F Faghri, MJ Shaw… - PLoS ONE, 2019 - search.ebscohost.com
Background: Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PLOS ONE, 2019 - ideas.repec.org
Background: Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …