Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy
Most Cited Paper
in Epilepsy research and treatment
18 Months Post-Publication
Class of 2026
“Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy”
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pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026/
Topics
automatic machine learning · Valproate · transaminase elevation · hepatotoxicity prediction · epilepsy treatment · predictive model validation · drug-induced liver injury · antiepileptic drug monitoring · AutoML model development · clinical risk prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026. Accessed 2026-07-13. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459