Prediction of the classification, labelling and packaging regulation H-statements with confidence using conformal prediction with N-grams and molecular fingerprints
Effective chemical hazard labelling systems are essential for safeguarding human health and the environment as a result of widespread chemical use, and machine-learning models can be used to predict hazard labels efficiently and reduce the use of animal tests. This investigation shows the utility of...
Saved in:
| Main Authors: | Ulf Norinder, Ziye Zheng, Ian Cotgreave |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Current Research in Toxicology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666027X25000283 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An investigation on using measurement uncertainty as decision rule for statement of conformity
by: Gouda M. Mohamed, et al.
Published: (2021-07-01) -
The 1st Baltic Osseointegration Academy and Lithuanian University of Health Sciences Consensus Conference 2016. Summary and Consensus Statements: Group III - Peri-Implantitis Treatment
by: Fernando Suárez-López del Amo, et al.
Published: (2016-09-01) -
The 1st Baltic Osseointegration Academy and Lithuanian University of Health Sciences Consensus Conference 2016. Summary and Consensus Statements: Group II - Peri-Implantitis Diagnostics and Decision Tree
by: Tolga Fikret Tözüm, et al.
Published: (2016-09-01) -
The 1st Baltic Osseointegration Academy and Lithuanian University of Health Sciences Consensus Conference 2016. Summary and Consensus Statements: Group I - Peri-Implantitis Aetiology, Risk Factors and Pathogenesis
by: Claudio Stacchi, et al.
Published: (2016-09-01) -
The 2nd Baltic Osseointegration Academy and Lithuanian University of Health Sciences Consensus Conference 2019. Summary and Consensus Statements: Group I - Biological Aspects of Tooth Extraction, Socket Healing and Indications for Socket Preservation
by: Gintaras Juodzbalys, et al.
Published: (2019-09-01)