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Augmenting the Prediction of Extubation Failure Using Measures of Complexity

Offered By: DataLearning@ICL via YouTube

Tags

Machine Learning Courses Signal Processing Courses Time Series Analysis Courses Predictive Analytics Courses Critical Care Courses

Course Description

Overview

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Explore a 43-minute presentation by Sandip Varkey George from UCL on augmenting the prediction of extubation failure using measures of complexity. Delivered at the weekly DataLearning working group meeting on May 24, 2022, this talk delves into innovative approaches for improving extubation failure prediction in medical settings. Gain insights into the intersection of data assimilation, machine learning, and healthcare as part of an interdisciplinary research initiative. Learn about cutting-edge technologies being developed to enhance patient care and medical decision-making processes.

Syllabus

DataLearning: Augmenting the prediction of extubation failure using measures of complexity


Taught by

DataLearning@ICL

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