Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance
Lilian Gasser, Christoph Schür, Fernando Pérez‐Cruz, Kristin Schirmer, Marco Baity‐Jesi
Abstract
The study focuses on the implementation and interpretation of four state-of-the-art machine learning methods coupled with six molecular representations to predict fish acute mortality.
Topics & Concepts
Interpretation (philosophy)Relevance (law)Fish <Actinopterygii>Artificial intelligenceMachine learningComputer scienceFisheryBiologyPolitical scienceLawProgramming languageComputational Drug Discovery MethodsMetabolomics and Mass Spectrometry StudiesMachine Learning in Materials Science