Autoencoder for clinical data analysis and classification : data imputation, dimensional reduction, and pattern recognition
(2017)
Thesis
Al Khaldy, M. (2017). Autoencoder for clinical data analysis and classification : data imputation, dimensional reduction, and pattern recognition. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4224219
Over the last decade, research has focused on machine learning and data mining to develop frameworks that can improve data analysis and output performance; to build accurate decision support systems that benefit from real-life datasets. This leads to... Read More about Autoencoder for clinical data analysis and classification : data imputation, dimensional reduction, and pattern recognition.