Kaikhah, Khosrow2012-02-242012-02-242004-07-01Kaikhah, K. (2004). Predicting Trends in Retinol and Beta-Carotene Plasma Levels using Neural Networks. WSEAS Transactions On Information Science and Applications, 1(1), pp. 547-552.https://hdl.handle.net/10877/3816A novel knowledge discovery and prediction technique using neural networks is presented. A neural network is trained to learn the correlations among physical and dietary characteristics of several hundred people to their Retinol and Beta-Carotene Plasma Levels. The neural network is then pruned and modified to generalize the correlations and relationships existing in data. Finally, the neural network is used as a tool to discover and predict the hidden trends inherent in dataset.Text6 pages1 file (.pdf)enadaptive clusteringknowledge discoverypredictionneural networkspruningtrainingretinol and beta-carotene plasma levelsComputer ScienceArticle