Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression

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Publication Details

Journal
Epiliepsy currents/Epilepsy currents
Published
2024-09-28
DOI
https://doi.org/10.1177/15357597241279744
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.35
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article

Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression

Sarah F. Muldoon
1 citations
Epiliepsy currents/Epilepsy currents
Machine Learning in Healthcare
0.35
article

Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression

Sarah F. Muldoon
article en
1 citations

Abstract

No abstract available for this paper.
Epiliepsy currents/Epilepsy currentsVol. 24(6)
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 33%
Machine Learning in Healthcare
0.35
DOIOpen Access PDFOpenAlex
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Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression — Sarah F. Muldoon · Epiliepsy currents/Epilepsy currents (2024) | TGRS Research Map | TGRS