A forecasting tool for prediction of epileptic seizures using a machine learning approach-Reference-Cited by-同舟云学术

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A forecasting tool for prediction of epileptic seizures using a machine learning approach

Published:2018-12-21 Issue:1 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Asharindavida Fayas¹,Shamim Hossain M.²^ORCID,Thacham Azeemsha¹,Khammari Hedi¹,Ahmed Irfan¹,Alraddady Fahad¹,Masud Mehedi¹

Affiliation:

1. College of Computers and Information TechnologyTaif University Taif Saudi Arabia

2. Department of Software Engineering, College of Computer and Information SciencesKing Saud University Riyadh Saudi Arabia

Funder

King Abdulaziz City for Science and Technology Saudi Arabia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5111

Reference41 articles.

1. Simultaneously aided diagnosis model for outpatient departments via healthcare big data analytics

2. Smart healthcare monitoring: a voice pathology detection paradigm for smart cities

3. Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic

4. The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods

5. Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Deep Learning Network with Convolutional Attention for Detecting Epileptic Seizures from EEG Signals;Lecture Notes in Networks and Systems;2024

2. Using Explainable Artificial Intelligence to Obtain Efficient Seizure-Detection Models Based on Electroencephalography Signals;Sensors;2023-12-16

3. A Review on the Applications of Time-Frequency Methods in ECG Analysis;Journal of Healthcare Engineering;2023-02-01

4. EPILEPTIC SEIZURE PREDICTION USING WAVELET TRANSFORM, FRACTAL DIMENSION, SUPPORT VECTOR MACHINE, AND EEG SIGNALS;Fractals;2022-07-28

5. A Fuzzy Statistical Perspective for Empirical Evaluation of EEG Classification Models for Epileptic Seizures;2022 International Conference on Emerging Smart Computing and Informatics (ESCI);2022-03-09

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