An Efficient Random Forest Model for Predicting Respiratory Toxicity of Organic Chemicals
Aubin N’GUESSAN, Ludovic Akonan, Désiré MELEDJE, Hermann N’Guessan, Gabin Placide ALLANGBA, Logbo MOUSSE, Nahossé Ziao, Melalie Keita, Raymond KRE & Eugene Megnassan · Journal of Pharmaceutical Research International · 2025
This study developed a random forest (RF) model based on a large and diverse dataset to classify whether organic chemicals or drugs are respiratory toxicants. Indeed, the concerns regarding drug-induced respiratory remain a major cause of drug candidate failure in clinical trials...
Open access
Research Article
10.9734/jpri/2025/v37i127774