A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data: An Approach for Building Effective Clinical Decision-Making System.
Clinical time-series data acquired from electronic health records (EHR) are liable to temporal complexities such as irregular observations, missing values and time constrained attributes that make the knowledge discovery process challenging.
Author(s): Jane, Nancy Yesudhas, Nehemiah, Khanna Harichandran, Arputharaj, Kannan
DOI: 10.4338/ACI-2015-08-RA-0102