Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy

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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”

AuthorsHongying Ma, Sihui Huang et al.

Qiang Qu

JournalArchives of Toxicology

Central South University

Citations35

DOI10.1007/s00204-024-03803-5

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Topics

machine learning · Valproate · transaminase elevation · Hepatotoxicity · epilepsy · AutoML · Hepatotoxicity · predictive model validation · Antiseizure medications · alanine aminotransferase · aspartate aminotransferase · Pharmacovigilance · clinical prediction model · liver function monitoring · feature selection

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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 2026-08-20.

Methodology
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