Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare-Reference-Cited by-同舟云学术

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Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare

Published:2018-04 Issue: Volume:119 Page:138-155
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Ali Farman,Islam S.M. Riazul,Kwak Daehan,Khan Pervez,Ullah Niamat,Yoo Sang-jo,Kwak K.S.

Funder

Korean Government (Ministry of Science, ICT and Future Planning)

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference66 articles.

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2. Complexity index from a personalized wearable monitoring system for assessing remission in mental health;Lanata;IEEE J. Biomed. Health Inf.,2015

3. The wild wild west: a framework to integrate mhealth software applications and wearables to support physical activity assessment, counseling and interventions for cardiovascular disease risk reduction;Lobelo;Prog. Cardiovasc. Dis.,2016

4. A health record integrated clinical decision support system to support prescriptions of pharmaceutical drugs in patients with reduced renal function: design, development and proof of concept;Shemeikka;Int. J. Med. Inf.,2015

5. Effect of psychotropic drugs on development of diabetes mellitus in patients with alzheimer's disease;Chang;Medicine,2015

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