Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow

Delirium Prediction Using Machine Learning Interpretation Method and Its Incorporation into a Clinical Workflow

Delirium in hospitalized patients is a worldwide problem, causing a burden on healthcare professionals and impacting patient prognosis. A machine learning interpretation method (ML interpretation method) presents the results of machine learning predictions and promotes guided decisions. This study f...

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Bibliographic Details
Main Authors: Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Shota Fukushige, Hidehisa Soejima, Naoki Nakashima
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
learning health system
machine learning interpretation method
Shapley additive explanation
delirium
machine learning
Online Access:https://www.mdpi.com/2076-3417/13/3/1564

Internet

https://www.mdpi.com/2076-3417/13/3/1564

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