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....

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Bibliographic Details
Main Authors: Danilo F. de Carvalho, Uzay Kaymak, Pieter Van Gorp, Natal van Riel
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000053