ArticleThe Science of the total environment2019
Prediction of bioconcentration factors in fish and invertebrates using machine learning.
Article in The Science of the total environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Predicting and Optimizing Zerumbone Content in Zingiber zerumbet Using Artificial Neural Network (ANN) Model: A Statistical Approach and Experimental Validation.Chemistry & biodiversity · 2026Article
- G.AI.A: An Integrated Machine-Learning Platform for Predicting Bioaccumulation and Ecotoxicity of Pharmaceuticals.Journal of chemical information and modeling · 2026Article
- Multimodal 3D-printed passive samplers to monitor, model and prioritiseEnvironmental science. Processes & impacts · 2026Article
- ChemFREE: a one-stop comprehensive platform for ecological and environmental risk evaluation of chemicals in one health world.Nucleic acids research · 2024Article
- Predicting the Accumulation of Ionizable Pharmaceuticals and Personal Care Products in Aquatic and Terrestrial Organisms.Environmental toxicology and chemistry · 2024Article
- Factors Determining the Susceptibility of Fish to Effects of Human Pharmaceuticals.Environmental science & technology · 2023Review
- Minimizing Experimental Testing on Fish for Legacy Pharmaceuticals.Environmental science & technology · 2023Article
- Active Pharmaceutical Ingredient Uptake by Zebrafish (Danio rerio) Oct2 (slc22a2) Transporter Expressed in Xenopus laevis Oocytes.Environmental toxicology and chemistry · 2022Article
- Affinity of Compounds for Phosphatydylcholine-Based Immobilized Artificial Membrane-A Measure of Their Bioconcentration in Aquatic Organisms.Membranes · 2022Article
- Application of multi-objective optimization in the study of anti-breast cancer candidate drugs.Scientific reports · 2022Article
- Article
- Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat.Environmental pollution (Barking, Essex : 1987) · 2021Article
- A Review on Prediction Models for Pesticide Use, Transmission, and Its Impacts.Reviews of environmental contamination and toxicology · 2021Review
- Article
- Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure.Environment international · 2019Article
- Exploiting machine learning for end-to-end drug discovery and development.Nature materials · 2019Article
- The Use of Molecular Descriptors To Model Pharmaceutical Uptake by a Fish Primary Gill Cell Culture Epithelium.Environmental science & technology · 2019Article
- Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The application of machine learning has recently gained interest from ecotoxicological fields for its ability to model and predict chemical and/or biological processes, such as the prediction of bioconcentration. However, comparison of different models and the prediction of bioconcentration in invertebrates has not been previously evaluated. A comparison of 24 linear and machine learning models is presented herein for the prediction of bioconcentration in fish and important factors that influenced accumulation identified. R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.