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Smart management of epilepsy disease: review article
Joint Authors
al-Imam, Mahi Ibrahim al-Sayyid
al-Jamal, Amani Fawzi
al-minshawi, Ibrahim al-Sayyid Hasan
Muhammad, Hanan al-Rifai Abd al-Qadir
Source
Research Journal Specific of Education
Issue
Vol. 2023, Issue 75 (31 May. 2023)
Publisher
Mansoura University Faculty of Specific Educatio
Publication Date
2023-05-31
Country of Publication
Egypt
Main Subjects
Topics
- Artificial intelligence
- Educational institutions
- Neurological disorders
- Epilepsy
- Symptoms
- Medical diagnosis
- Blood sedimentation
Abstract EN
People nowadays face numerous types of stress in their fast-paced everyday lives, and the majority of the world's population suffers from various neurological disorders.
epilepsy affects approximately 65 million people worldwide and is associated with increased rates of bodily injuries and mortality when not optimally treated.
also educational institutions include some of the students who are likely to have epilepsy, and for fear of exposing them to epileptic seizures in front of their colleagues, we identify and detect the symptoms to anticipate the seizure before it occurs.
because of the high incidence and harm caused by seizure control failure, it is important to understand the characteristics of epilepsy in order to give an appropriate response for each patient.
as a result, epilepsy prediction and early diagnosis are required to give timely preventative measures that allow patients to be free of the detrimental repercussions of epileptic seizures.
manual analysis of EEG brain signals for epilepsy detection is a time-consuming and difficult procedure that places a tremendous strain on neurologists.
as a result, several automatic approaches based on artificial intelligence have been developed to aid neurologists in epilepsy detection.
the use of artificial intelligence in the diagnosis of epilepsy and predicts epileptic seizures provides an asset to the medical college students and the less experienced doctors in interpreting the EEG and reduces the diagnostics time.
the current study aims to summarize the most recent updates on epilepsy definitions, kinds, diagnosis, seizure and artificial intelligence role in its detection.
American Psychological Association (APA)
al-Imam, Mahi Ibrahim al-Sayyid& al-Jamal, Amani Fawzi& al-minshawi, Ibrahim al-Sayyid Hasan& Muhammad, Hanan al-Rifai Abd al-Qadir. 2023. Smart management of epilepsy disease: review article. Research Journal Specific of Education،Vol. 2023, no. 75.
https://search.emarefa.net/detail/BIM-1514199
Modern Language Association (MLA)
al-Imam, Mahi Ibrahim al-Sayyid…[et al.]. Smart management of epilepsy disease: review article. Research Journal Specific of Education No. 75 (May. 2023).
https://search.emarefa.net/detail/BIM-1514199
American Medical Association (AMA)
al-Imam, Mahi Ibrahim al-Sayyid& al-Jamal, Amani Fawzi& al-minshawi, Ibrahim al-Sayyid Hasan& Muhammad, Hanan al-Rifai Abd al-Qadir. Smart management of epilepsy disease: review article. Research Journal Specific of Education. 2023. Vol. 2023, no. 75.
https://search.emarefa.net/detail/BIM-1514199
Data Type
Journal Articles
Language
English
Record ID
BIM-1514199