Thesiss

17 works - Thesiss.

"17" Result

Many real-world applications produce event sequence data containing information crucial to important decision making. The ability to discover patterns of behavior or operational significance from multivariate temporal sequences (MTS) is essential to tasks such as purchase behavi…

With the rapidly growing volume of Electronic Health Records (EHR) data, deep-learning models exhibit state-of-the-art performance for many predictive tasks in the health domain. To overcome the challenge of high dimensionality in EHR data, many representation learning methods h…

Electronic health records (EHRs) are growing at an exponential rate, and predictive analysis of this data can help physicians determine a patient’s condition at an early stage. In order to perform predictive analytics, various factors need to be considered, including demographic…