Analysis of irregularly sampled time series health care data sets

The real-world healthcare system generates abundant time-series data. In most cases, these data have a high prevalence of missing values and are often irregularly sampled across both time and patient. Moreover, due to the complex level of a different dataset, the preprocessing is more significant an...

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Bibliographic Details
Main Author: Wang, Anni
Other Authors: Ponnuthurai Nagaratnam Suganthan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/154677
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Institution: Nanyang Technological University
Language: English