Machine Learning Application: A Bibliometric Analysis From a Half-Century of Research on Stroke

Author:

Che Nawi Che Muhammad Nur Hidayat,Mohd Hairon Suhaily,Wan Yahya Wan Nur Nafisah,Wan Zaidi Wan Asyraf,Hassan Mohd Rohaizat,Musa Kamarul Imran

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering

Reference19 articles.

1. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019;GBD 2019 Stroke Collaborators;Lancet Neurol,2021

2. World Stroke Organization. Global Fact Sheet 2022. (2022). Accessed: 2022: https://www.dropbox.com/scl/fi/f9c3n8jlirq85ohts6t8m/WSO-Global-Stroke-Factsheet-09-02.2022.ppt?dl=0&rlkey=grvocqyp5i....

3. A systematic review of machine learning models for predicting outcomes of stroke with structured data;Wang W;PLoS One,2020

4. Random forest-based prediction of stroke outcome;Fernandez-Lozano C;Sci Rep,2021

5. Using machine learning to improve the prediction of functional outcome in ischemic stroke patients;Monteiro M;IEEE/ACM Trans Comput Biol Bioinform,2018

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