Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes

Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes

Abstract Background Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algorithm-based approaches are becoming more and more vital to support clin...

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Bibliographic Details
Main Authors: Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam, Yuan Luo
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
ICU
Diabetic disease
Clinical notes
Machine learning
Natural language processing
Mortality
Online Access:https://doi.org/10.1186/s12911-020-01318-4

Internet

https://doi.org/10.1186/s12911-020-01318-4

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