Predicting stroke events with a proactive fusion system: a comprehensive study on imbalance class handling in computational biomechanics-Reference-Cited by-同舟云学术

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Predicting stroke events with a proactive fusion system: a comprehensive study on imbalance class handling in computational biomechanics

Published:2024-06-20 Issue: Volume: Page:1-18
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Ameksa Mohammed¹,Elamrani Abou Elassad Zouhair²,Lamjadli Saad³,Mousannif Hajar¹

Affiliation:

1. LISI Laboratory, Computer Science Department, FSSM, Cadi Ayyad University, Marrakesh, Morocco

2. SARS Research Team, Computer Science Department, ENSAS, Cadi Ayyad University, Marrakesh, Morocco

3. Immunology Laboratory, Arrazi Hospital, CHU Mohamed VI, Marrakech, Morocco

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2363946

Reference79 articles.

1. Allison PD. 2001. Missing data. Sage publications. https://us.sagepub.com/en-us/nam/missing-data/book9419#reviews

2. Prediction and control of stroke by data mining;Amini L;Int J Prev Med,2013

3. Risk factors for swallowing dysfunction in stroke patients

4. Class Imbalance Learning Methods for Support Vector Machines

5. Prediction of stroke thrombolysis outcome using CT brain machine learning

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1. A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system;Transportation Letters;2024-09-03

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