ML Model Helps Read EEGs of ICU Patients
New machine learning model helps doctors analyze EEG charts, aiding the detection of seizures in unconscious patients
The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.
The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.
Diversity alone won’t get the votes for funding public education. It takes communities that are more integrated and connected, where residents have a sense of shared stake.
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New machine learning model helps doctors analyze EEG charts, aiding the detection of seizures in unconscious patients
Could a voting machine be lost or stolen? Would a loose wire in the machine skew the tally? Could a sophisticated cyberattack go undetected?
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EDITOR’S NOTE: Decision Science Digest is a periodic communique highlighting recent peer-reviewed research published by INFORMS, the largest association for the decision and data sciences, across its 17 journals. This issue highlights four press releases based on the findings of new peer-reviewed articles.
The new policy gets problematic when a flight is canceled or delayed. If the airlines are required to issue a refund to the traveler, and the flyer unwittingly agrees to the refund, then they may be left to rebook their own flights.
Will the threats associated with artificial intelligence be as bad as some fear? Or will AI be relatively benign? Could the answer be somewhere in between?

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