A Markov model for inferring event types on diabetes patients data

Author:

F. de Carvalho DaniloORCID,Kaymak Uzay,Van Gorp Pieter,van Riel Natal

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Reference43 articles.

1. Deep digital phenotyping and digital twins for precision health: time to dig deeper;Fagherazzi;J. Med. Internet Res.,2020

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3. Impact of telephone support programme using telemonitoring on stage of change towards healthy eating and active exercise in people with prediabetes;Sakane;J. Telemed. Telecare,2021

4. Use of artificial intelligence for management and identification of complications in diabetes;Behera;Clin. Diabetol.,2021

5. Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review;Chaki;J. King Saud Univ. - Comput. Inf. Sci.,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-driven meal events detection using blood glucose response patterns;BMC Medical Informatics and Decision Making;2023-12-08

2. Population and Individual Level Meal Response Patterns in Continuous Glucose Data;Information Processing and Management of Uncertainty in Knowledge-Based Systems;2022

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