An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors

• Autori principali: Keerthana Jaganathan (Autore), Hilal Tayara (Autore), Kil To Chong (Autore)
• Natura: Libro
• Pubblicazione: MDPI AG, 2022-04-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Respiratory toxicity is a serious public health concern caused by the adverse effects of drugs or chemicals, so the pharmaceutical and chemical industries demand reliable and precise computational tools to assess the respiratory toxicity of compounds. The purpose of this study is to develop quantita...