[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
[HTML][HTML] A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management
This article includes a systematic review that identifies and summarizes the many behavioral
change techniques (BCTs), behavioral health theories, and advanced techniques based on …
change techniques (BCTs), behavioral health theories, and advanced techniques based on …
[Retracted] IoT‐Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Nowadays, there is a growing need for Internet of Things (IoT)‐based mobile healthcare
applications that help to predict diseases. In recent years, several people have been …
applications that help to predict diseases. In recent years, several people have been …
Internet of things and its applications in healthcare-A survey
In this paper, the Internet of Things (IoT) and its applications in the healthcare industry have
been discussed. The amalgamation of IoT with healthcare has instigated an increase in the …
been discussed. The amalgamation of IoT with healthcare has instigated an increase in the …
Humanoid robot-assisted interventions among children with diabetes: A systematic sco** review
Y Lau, DGH Chee, XP Chow, SH Wong… - International Journal of …, 2020 - Elsevier
Background Although the humanoid robot is highly engaging for children, whether
humanoid robot-assisted interventions could help in diabetes management is still unclear …
humanoid robot-assisted interventions could help in diabetes management is still unclear …
CI-DPF: A cloud IoT based framework for diabetes prediction
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 …
computing technologies and techniques in healthcare research. By making use of sensors in …
Diabetes detection and prediction using machine learning/IoT: A survey
N Sharma, A Singh - … International Conference, ICAICR 2018, Shimla, India …, 2019 - Springer
A healthcare system using modern computing techniques is the highest explored area in
healthcare research. Researchers in the field of computing and healthcare are persistently …
healthcare research. Researchers in the field of computing and healthcare are persistently …
A diabetic diet suggester and appointment scheduler chatbot using artificial intelligence and cloud
Conversational Artificial Intelligence has gained a lot of traction due to its ability to
communicate with the user and the machine with automated texting and dialog flow-based …
communicate with the user and the machine with automated texting and dialog flow-based …
An automatic diabetes risk assessment system using IoT cloud platform
Diabetes mellitus is a disease that impairs the body's ability to process blood sugar due to
insufficient production of the hormone called insulin or the body's resistant towards insulin or …
insufficient production of the hormone called insulin or the body's resistant towards insulin or …
IoT empowering healthcare: A comprehensive survey of smart healthcare applications
This study has addressed Internet of Things (IoT) and its applications in the healthcare
sector. Integration of the Internet of Things and healthcare sparked advancements on …
sector. Integration of the Internet of Things and healthcare sparked advancements on …