Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome - Zihni, Esra; Madai, Vince Istvan; Livne, Michelle; Galinovic, Ivana; Khalil, Ahmed A.; Fiebach, Jochen B.; Frey, Dietmar (PloS one, 2020)
Keywords: Age; Aged; Aged, 80 and over; Algorithms; Area Under Curve; Artificial intelligence; Artificial neural networks; Biology and Life Sciences; Clinical Decision-Making - methods; Computer and Information Sciences; Datasets; Decision support systems; Diabetes; Domains; Engineering and Technology; Ethics; Female; Forecasting; Generalized linear models; Humans; Learning algorithms; Logistic Models; Machine learning; Male; Medicine; Medicine and Health Sciences; Methods; Middle Aged; Multilayer perceptrons; Neural networks; Neural Networks, Computer; Outcome Assessment, Health Care; Patients; Physical Sciences; Physicians; Prediction models; Predictions; Prognosis; Regression analysis; Regression models; Regularization; Research and Analysis Methods; Researchers; Retrospective Studies; State-of-the-art reviews; Stroke; Stroke - diagnosis; Supervised Machine Learning - trends; Values; Germany