A Markov model for inferring event types on diabetes patients data
Gathering diabetes-related data requires effort from the patient side to log specific events throughout experiments. This is an error-prone task that the patients usually handle by following a prescribed protocol. However, patients often do not follow the protocol, causing missing or imperfect data....
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Healthcare Analytics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442522000053 |