Artificial Intelligence and Computational Approaches for Epilepsy Article Swipe
Sora An
,
Chaewon Kang
,
Hyang Woon Lee
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.14581/jer.20003
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.14581/jer.20003
Studies on treatment of epilepsy have been actively conducted in multiple avenues, but there are limitations in improving its efficacy due to between-subject variability in which treatment outcomes vary from patient to patient. Accordingly, there is a growing interest in precision medicine that provides accurate diagnosis for seizure types and optimal treatment for an individual epilepsy patient. Among these approaches, computational studies making this feasible are rapidly progressing in particular and have been widely applied in epilepsy. These computational studies are being conducted in two main streams: 1) artificial intelligence-based studies implementing computational machines with specific functions, such as automatic diagnosis and prognosis prediction for an individual patient, using machine learning techniques based on large amounts of data obtained from multiple patients and 2) patient-specific modeling-based studies implementing biophysical in-silico platforms to understand pathological mechanisms and derive the optimal treatment for each patient by reproducing the brain network dynamics of the particular patient per se based on individual patient's data. These computational approaches are important as it can integrate multiple types of data acquired from patients and analysis results into a single platform. If these kinds of methods are efficiently operated, it would suggest a novel paradigm for precision medicine.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.14581/jer.20003
- https://www.j-epilepsy.org/upload/jer-20003.pdf
- OA Status
- diamond
- Cited By
- 64
- References
- 100
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3084044008
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3084044008Canonical identifier for this work in OpenAlex
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https://doi.org/10.14581/jer.20003Digital Object Identifier
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Artificial Intelligence and Computational Approaches for EpilepsyWork title
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reviewOpenAlex work type
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enPrimary language
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2020Year of publication
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2020-06-30Full publication date if available
- Authors
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Sora An, Chaewon Kang, Hyang Woon LeeList of authors in order
- Landing page
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https://doi.org/10.14581/jer.20003Publisher landing page
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https://www.j-epilepsy.org/upload/jer-20003.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.j-epilepsy.org/upload/jer-20003.pdfDirect OA link when available
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Epilepsy, Artificial intelligence, Computational model, Machine learning, Computer science, Computational intelligence, Precision medicine, Patient data, Medicine, Pathology, Psychiatry, DatabaseTop concepts (fields/topics) attached by OpenAlex
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64Total citation count in OpenAlex
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2025: 15, 2024: 19, 2023: 11, 2022: 11, 2021: 6Per-year citation counts (last 5 years)
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100Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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