Tanya K Altmann
An evaluation of the seminal work of Patricia Benner: theory or philosophy?
Contemporary nurse
laboratory measurements paleontological data welllogs often used conduct mineralogical chemical analyses classify rock samples employing digital intelligence techniques may enhance accuracy classification predictions simultaneously speeding whole classification process aim develop comprehensive approach categorizing igneous rock types based global geochemical characteristics strategy integrates advanced clustering classification data mining statistical methods employing worldwide geochemical data set 25000 points 15 igneous rock types pioneering study employed hierarchical clustering linear projection analysis multidimensional scaling determine frequency distribution oxide content igneous rock types globally study included eight classifiers logistic regression lr gradient boosting gb random forest rf knearest neighbors knn support vector machine svm artificial neural network ann two ensemblebased classifier models en1 en2 en1 consisted lr gb rf aggregates whereas en2 comprised predictions ml models used study accuracy en2 992 en1 achieved 98 ann yielded 982 en2 provided best performance highest initial curve longest time receiver operating characteristic roc curve based ranking features sio2 deemed important followed k2o na2o findings indicate use ensemble models enhances accuracy reliability predictions effectively capturing diverse patterns correlations within data consequently leads precise results rock typing globally