CI-DPF: A cloud IoT based framework for diabetes prediction

P Kaur, N Sharma, A Singh, B Gill - 2018 IEEE 9th Annual …, 2018 - ieeexplore.ieee.org
Smart healthcare technology is one of the highest explored areas which apply modern
computing technologies and techniques in healthcare research. By making use of sensors in …

An IoT based big data framework using equidistant heuristic and duplex deep neural network for diabetic disease prediction

NR Sivakumar, FKD Karim - Journal of Ambient Intelligence and …, 2021 - Springer
A number of strategies empowered by Internet of Thing (IoT) have been utilized for the
prediction of several dreadful diseases like diabetic for which ceaseless and real-time …

HealthEdge: a machine learning-based smart healthcare framework for prediction of type 2 diabetes in an integrated IoT, edge, and cloud computing system

A Hennebelle, H Materwala, L Ismail - Procedia Computer Science, 2023 - Elsevier
Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death
globally. The alarming increase in diabetes calls for the need to take precautionary …

A novel deep learning model for diabetes melliuts prediction in IoT-based healthcare environment with effective feature selection mechanism

R Rajalakshmi, P Sivakumar, LK Kumari… - The Journal of …, 2024 - Springer
The management of diabetes involves much compliance, disease awareness, and patient
empowerment. Blood glucose levels in people with diabetes are abnormal, resulting in …

A decision support system for diabetes prediction using machine learning and deep learning techniques

A Yahyaoui, A Jamil, J Rasheed… - 2019 1st International …, 2019 - ieeexplore.ieee.org
With the continuing increase in the number of the deadly diseases that threaten both human
health and life, medical Decision Support Systems (DSS) continue to prove their …

Machine learning based unified framework for diabetes prediction

SMH Mahmud, MA Hossin, MR Ahmed… - Proceedings of the …, 2018 - dl.acm.org
Machine learning gained a significant position in healthcare services (HCS) due to its ability
to improve the disease prediction in HCS. Machine learning techniques and artificial …

An effective diabetes prediction system using machine learning techniques

SMM Hasan, MF Rabbi, AI Champa… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Diabetes, a universal chronic disease, arises due to the lack of responsiveness to insulin. As
the permanent cure for diabetes is not possible, so early detection and taking necessary …

Leveraging pima dataset to diabetes prediction: case study of deep neural network

P Hounguè, AG Bigirimana - Journal of Computer …, 2022 - publications.article4sub.com
Diabetes is a chronic disease. In 2019, it was the ninth leading cause of death with an
estimated 1.5 million deaths. Poorly controlled, diabetes can lead to serious health …

Prediction of diabetes using machine learning

CS Manikandababu, S IndhuLekha… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Exceptional progress in technology has led to significant production of data in healthcare. By
employing various data analysis approaches it is possible to detect changes in the human …

Artificial intelligence enabled web-based prediction of diabetes using machine learning approach

C Pankaj, KV Singh, KR Singh - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Healthcare is the preservation of health that includes diagnosis, surgery, therapy, cure and
other related to health of the people. With the advancement of technology, healthcare is …