Computerized migraine diagnostic tools: a systematic review

YW Woldeamanuel, RP Cowan - Therapeutic advances in …, 2022 - journals.sagepub.com
Background: Computerized migraine diagnostic tools have been developed and validated
since 1960. We conducted a systematic review to summarize and critically appraise the …

Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform

A Subasi, A Ahmed, E Aličković, AR Hassan - Biomedical signal processing …, 2019 - Elsevier
Migraine is a neurological disorder characterized by persisting attacks, underlined by the
sensitivity to light. One of the leading reasons that make migraine a bigger issue is that it …

Deep convolutional neural network-based framework in the automatic diagnosis of migraine

Z Aslan - Circuits, Systems, and Signal Processing, 2023 - Springer
This study presents a computer-aided diagnosis (CAD) system that uses deep learning to
diagnose migraine from electroencephalogram (EEG) signals. The proposed method …

Migraine detection from EEG signals using tunable Q-factor wavelet transform and ensemble learning techniques

Z Aslan - Physical and Engineering Sciences in Medicine, 2021 - Springer
Migraine is one of the major neurovascular diseases that recur, can persist for a long time,
cripple or weaken the brain. This study uses electroencephalogram (EEG) signals for the …

[PDF][PDF] An extensive empirical evaluation of classifier ensembles for intrusion detection task

BA Tama, KH Rhee - Comput. Syst. Sci. Eng, 2017 - researchgate.net
The goal of intrusion detection system (IDS) is to detect various types of malicious against
computer networks. Unlike conventional firewall, IDS identifies attacks intelligently using …

[HTML][HTML] Automatic migraine classification using artificial neural networks

PA Sanchez-Sanchez, JR García-González… - …, 2020 - ncbi.nlm.nih.gov
Background: Previous studies of migraine classification have focused on the analysis of
brain waves, leading to the development of complex tests that are not accessible to the …

An Empirical Mode Decomposition approach for automated diagnosis of migraine

Z Aslan - Biomedical Signal Processing and Control, 2022 - Elsevier
This study presents an Empirical Mode Decomposition (EMD) approach that aims to
automatically detect migraine disease (MD) from electroencephalogram (EEG) recordings of …

A hybrid bio-inspired clustering approach for diagnosing children with primary headache disorder

S Simić, S Sakač, Z Banković, JR Villar… - … Conference on Hybrid …, 2020 - Springer
Half of the general population experiences a headache during any given year. Medical data
and information in turn provide knowledge based on which physicians make scientific …

A comparative study of classifier ensembles for detecting inactive learner in university

BA Tama, KH Rhee - International Journal of Data Analysis …, 2018 - inderscienceonline.com
Prediction of undesirable learner's behaviours is an important issue in the distance learning
system as well as the conventional university. This paper is devoted to benchmark ensemble …

Technological advancements in the detection and diagnosis of migraine: A review

S Kaur, P Kaur, M Gosain, R Kaur - Computational Methods in …, 2024 - taylorfrancis.com
Headaches are the most prevalent medical condition in the globe. The migraine is one of the
various types of headaches. Along with their excruciating headaches, migraineurs often …