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

*PRI Rank #6 · Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026/rank-6*

| Field | Value |
| --- | --- |
| Rank | #6 |
| 18m citations | 35 |
| Journal | Archives of Toxicology |
| Year | 2024 |
| DOI | 10.1007/s00204-024-03803-5 |
| Corresponding authors | Qiang Qu |
| Institution | Central South University, China |

**Ranking page:** [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)

**Paper link:** [10.1007/s00204-024-03803-5](https://doi.org/10.1007/s00204-024-03803-5)

## 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

## Cite this ranking

```
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 2026-07-14.

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
```