Golnaz Rezaeizadeh, Mohammad Ali Mansournia, Abbasali Keshtkar, Zahra Farahani, Fatemeh Zarepour, Maryam Sharafkhah, Roya Kelishadi, Hossein Poustchi
Maternal education and its influence on child growth and nutritional status during the first two years of life: a systematic review and meta-analysis
EClinicalMedicine
accurate prediction phospholipidosisinduction risk drugs early stages important drug development far discrimination models predicting induction risk cationic drugs proposed still challenging accurately predict risk cationic drugs intermediate hydrophobicity logp study introduced parameter logk40 reflecting hydrophobic interaction also interactions polar headgroup cationic drugs phospholipids obtained liquid chromatography using immobilized artificial membrane column parameter used along physicochemical properties features construct discrimination models linear discriminant analysis modified mahalanobis discriminant analysis support vector machine random forest employed model construction results showed discrimination models exhibited good predictive performance modified mahalanobis discriminant analysis random forest providing best results cationic drugs suggesting usefulness parameter reflecting complex interactions cationic drugs immobilized artificial membrane constructing discrimination models predict induction risk furthermore applying parameter feature constructing discrimination models demonstrated improvement predictive performance drugs intermediate hydrophobicity