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

F Ali, SMR Islam, D Kwak, P Khan, N Ullah… - Computer …, 2018 - Elsevier
The number of people with a chronic disease is rapidly increasing, giving the healthcare
industry more challenging problems. To date, there exist several ontology and IoT-based …

[HTML][HTML] An ontology-driven personalized food recommendation in IoT-based healthcare system

V Subramaniyaswamy, G Manogaran… - The Journal of …, 2019 - Springer
The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation

CS Lee, MH Wang, H Hagras - IEEE Transactions on Fuzzy …, 2010 - ieeexplore.ieee.org
It has been widely pointed out that classical ontology is not sufficient to deal with imprecise
and vague knowledge for some real-world applications like personal diabetic-diet …

Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression

A Ghorbani, F Davoodi, K Zamanifar - Artificial Intelligence in Medicine, 2023 - Elsevier
Ontology enhances semantic interoperability through integrating health data from
heterogeneous sources and sharing information in a meaningful way. In the field of smart …

Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health care

D Sharma, G Singh Aujla, R Bajaj - Transactions on Emerging …, 2021 - Wiley Online Library
Abstract Internet of Things (IoT) and Data science have revolutionized the entire
technological landscape across the globe. Because of it, the health care ecosystems are …

[HTML][HTML] A smart ontology-based IoT framework for remote patient monitoring

N Sharma, M Mangla, SN Mohanty, D Gupta… - … Signal Processing and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) is the most promising technology in health technology
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …

An intelligent healthcare monitoring framework using wearable sensors and social networking data

F Ali, S El-Sappagh, SMR Islam, A Ali, M Attique… - Future Generation …, 2021 - Elsevier
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …

A fuzzy expert system for diabetes decision support application

CS Lee, MH Wang - IEEE Transactions on Systems, Man, and …, 2010 - ieeexplore.ieee.org
An increasing number of decision support systems based on domain knowledge are
adopted to diagnose medical conditions such as diabetes and heart disease. It is widely …

OMDP: An ontology-based model for diagnosis and treatment of diabetes patients in remote healthcare systems

L Chen, D Lu, M Zhu, M Muzammal… - International …, 2019 - journals.sagepub.com
Millions of adults have diabetes across the globe and the overall cost for managing diabetic
patients has reached up to approximately 250 million. A major constraint in existing ontology …

[HTML][HTML] An automatic ontology-based approach to support logical representation of observable and measurable data for healthy lifestyle management: Proof-of …

A Chatterjee, A Prinz, M Gerdes, S Martinez - Journal of Medical Internet …, 2021 - jmir.org
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause
of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle …