Is Mild Really Mild?: Generating Longitudinal Profiles of Stroke Survivor Impairment and Impact Using Unsupervised Machine Learning

Is Mild Really Mild?: Generating Longitudinal Profiles of Stroke Survivor Impairment and Impact Using Unsupervised Machine Learning

The National Institute of Health Stroke Scale (NIHSS) is used worldwide to classify stroke severity as ‘mild’, ‘moderate’, or ‘severe’ based on neurological impairment. Yet, stroke survivors argue that the classification of ‘mild’ does not represent the holistic experience and impact of stroke on th...

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Bibliographic Details
Main Authors: Achini Adikari, Rashmika Nawaratne, Daswin De Silva, David L. Carey, Alistair Walsh, Carolyn Baum, Stephen Davis, Geoffrey A. Donnan, Damminda Alahakoon, Leeanne M. Carey
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Applied Sciences
Subjects:
mild stroke
artificial intelligence
patient profiling
unsupervised learning
personalized healthcare
Online Access:https://www.mdpi.com/2076-3417/14/15/6800

Internet

https://www.mdpi.com/2076-3417/14/15/6800

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