Machine learning enhances prediction of plants as potential sources of antimalarials - Richard-Bollans, Adam; Aitken, Conal; Antonelli, Alexandre; Bitencourt, Cássia; Goyder, David; Lucas, Eve; Ondo, Ian; Pérez-Escobar, Oscar A.; Pironon, Samuel; Richardson, James E.; Russell, David; Silvestro, Daniele; et al. (Frontiers in plant science, 2023)
Keywords: antiplasmodial activity; Biologi; Biological Sciences; botany; ethnobotany; ethnopharmacology; machine learning; malaria; Plant Science; sampling bias; traditional and indigenous knowledge; traditional and indigenous knowledge; antiplasmodial activity; botany; sampling bias; machine learning; malaria; ethnobotany; ethnopharmacology