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Activity Number:
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414
- Risk Modeling and Regression Techniques
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Type:
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Contributed
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Date/Time:
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Thursday, August 12, 2021 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract #318434
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Title:
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Quantifying the Harm Caused by Seizure-like Brain Activity in Critically Ill Patients using MALTS
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Author(s):
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Kentaro Hoffman* and Harsh Parikh and Cynthia Rudin and Haoqi Sun and Brandon Westover
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Companies:
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University of North Carolina-Chapel Hill and Duke University and Duke University and Massachusetts General Hosptial and Massachusetts General Hospital
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Keywords:
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Personalized Medicine;
Causal Inference;
Matching;
Neuroscience
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Abstract:
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Seizures and seizure-like brain activity patterns (ictal-interictal continuum, IIC) are common in critically ill neuro ICU patients. However, whether IICs directly leads to adverse outcomes is unclear, partially due to a strong feedback loops existing in hospital treatment. Recent advances in causal inference holds promise in estimating a less biased causal effect for IIC burden while providing interpretable results to aid doctors decision making.
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Authors who are presenting talks have a * after their name.
