[PDF][PDF] A review of internet of medical things (IoMT)-based remote health monitoring through wearable sensors: a case study for diabetic patients
O AlShorman, B AlShorman… - Indonesian Journal …, 2020 - pdfs.semanticscholar.org
The latest advances and trends in information technology and communication have a vital
role in healthcare industries. Theses advancements led to the Internet of Medical Things …
role in healthcare industries. Theses advancements led to the Internet of Medical Things …
[PDF][PDF] A proposed model for diabetes mellitus classification using coyote optimization algorithm and least squares support vector machine
BS Bahnam, S Abd Dawwod - Int J Artif Intell ISSN, 2022 - academia.edu
One of the most dangerous health diseases affecting the world's population is diabetes
mellitus (DM), and its diagnosis is the key to its treatment. Several methods have been …
mellitus (DM), and its diagnosis is the key to its treatment. Several methods have been …
Application of machine learning in cement price prediction through a web-based system
AO Afolabi, O Abimbola - International Journal of Electrical …, 2022 - search.proquest.com
Cement is one of the most common building materials in the construction industry.
Simultaneously, its price fluctuation can affect the success or failure of the construction …
Simultaneously, its price fluctuation can affect the success or failure of the construction …
Improving Blood Glucose Prediction for People with T1DM During Physical Activity Using Machine Learning on Participant Collected Data
D Oh - 2024 - munin.uit.no
For people with Type 1 Diabetes Mellitus (T1DM), engaging in physical activities (PA)
presents unique challenges. The aim of this thesis was to improve the prediction of blood …
presents unique challenges. The aim of this thesis was to improve the prediction of blood …
Equivalence of Fasting and Non-Fasting Blood Glucose Readings at the Palm and Fingertip Sites
HA Owida, J Al-Nabulsi… - 2022 13th International …, 2022 - ieeexplore.ieee.org
With the recent rise of diabetes, many patients suffer from pain and infections using
commercial glucose meters, necessitating the identification of another test site. This work …
commercial glucose meters, necessitating the identification of another test site. This work …
Dynamic Machine Learning Algorithms for Multiple Malware Detection
ZN Fadhil, WS Bhaya - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Vast volumes of data are readily available everywhere today. As a result, it is crucial to
evaluate this data to draw out some relevant information and create algorithms based on …
evaluate this data to draw out some relevant information and create algorithms based on …