A review of machine learning in toxicology: current practices and reporting gaps.
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| Title: | A review of machine learning in toxicology: current practices and reporting gaps. |
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| Authors: | Kappenberg F; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany.; Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany., Stolte M; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Sauer L; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Duda JC; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Lau M; Mathematical Institute, Heinrich Heine University, Universitätsstrasse 1, Düsseldorf, 40225, Germany.; eBay Inc., 2025 Hamilton Avenue, San José, 95125, California, USA., Schürmeyer L; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Zhou H; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Schwender H; Mathematical Institute, Heinrich Heine University, Universitätsstrasse 1, Düsseldorf, 40225, Germany., Schorning K; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany., Rahnenführer J; Department of Statistics, TU Dortmund University, Vogelpothsweg 87, Dortmund, 44227, Germany. rahnenfuehrer@statistik.tu-dortmund.de. |
| Source: | Archives of toxicology [Arch Toxicol] 2026 Apr 30. Date of Electronic Publication: 2026 Apr 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0417615 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0738 (Electronic) Linking ISSN: 03405761 NLM ISO Abbreviation: Arch Toxicol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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