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Generating synthetic data with a mechanism-based Critical Illness Digital Twin: Demonstration for Post Traumatic Acute Respiratory Distress Syndrome

2022-11-24

Abstract excerpt

Machine learning (ML) and Artificial Intelligence (AI) approaches are increasingly applied to predicting the development of sepsis and multiple organ failure. While there has been success in demonstrating the clinical utility of such systems in terms of affecting various outcomes, there are fundamental challenges to the ML/AI approach in terms of improving the actual predictive performance and future robustness of...

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Literature Corpus work
8ef8d018-9c83-57a4-9780-666106154c0b
DOI
10.1101/2022.11.22.517524
Open publication

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Generating synthetic data with a mechanism-based Critical Illness Digital Twin: Demonstration for Post Traumatic Acute Respiratory Distress SyndromeDOI 10.1101/2022.11.22.517524
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