Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells - Park, Han Sang; Rinehart, Matthew T.; Walzer, Katelyn A.; Chi, Jen-Tsan Ashley; Wax, Adam (PloS one, 2016)
Keywords: Accuracy; Algorithms; Artificial intelligence; Automation; Biology and Life Sciences; Biomedical engineering; Blood; Blood cells; Classification; Computer and Information Sciences; Data mining; Diagnostic systems; Diagnostic tests; Erythrocytes; Erythrocytes - parasitology; Humans; Image detection; Infections; K nearest neighbour classification tree analysis; K-nearest neighbors algorithm; Learning algorithms; Machine Learning; Malaria; Medicine and Health Sciences; Microscopy; Morphology; Parasites; Physical properties; Physical Sciences; Plasmodium falciparum; Plasmodium falciparum - isolation & purification; Regression analysis; Research and Analysis Methods; Studies; Technology application; Trophozoites; Vector-borne diseases; North Carolina; United States--US