Exploring the landscape of ubiquitous in-home health monitoring: a comprehensive survey

F Pourpanah, A Etemad - ACM Transactions on Computing for …, 2024 - dl.acm.org
Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …

Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective

W Li, J Gui, X Luo, J Yang, T Zhang… - Frontiers in Public …, 2023 - frontiersin.org
Background Although older adults health management systems have been shown to have a
significant impact on health levels, there remains the problem of low use rate, frequency of …

Using Support Vector Machine For Classification And Feature Extraction Of Spam In Email

A Reddy, MU Maheswari, A Viswanathan… - International Journal of …, 2022 - ijie.ir
We provide an overview of recent and successful content-based e-mail spam filtering
algorithms in this article. Our main focus is on spam filters based on machine learning and …

Assessing the health ability based on health monitoring using fuzzy for monitoring geriatrics care and amputees

N Gomathi, N Manjunathan - Soft Computing, 2023 - Springer
In recent days, there has been an exponential growth in the usage of Internet of Things (IoT)
devices. The technological development makes the product development for the elderly …

[PDF][PDF] A Mobile Application Based Optimized Out-Patient Emergency Request Model

GE Okereke, U Agomuo, SC Echcezona… - International …, 2024 - researchgate.net
This paper developed a mobile APP called Health Emergency Request APP (HER-APP).
The App sends out-patients 'emergency request to any closest health personnel within a …

Ambient Assisted Living Solutions

M Ziefle, J Offermann, W Wilkowska - … -Computer Interaction in …, 2024 - taylorfrancis.com
Societies around the world are facing major health and social care challenges due to
demographic change. Innovations in active and assisted living technologies and services …

Various Deep Learning Techniques Involved In Breast Cancer Mammogram Classification–A Survey

NR Dronamraju - International Journal of Innovation in Engineering, 2022 - ijie.ir
The most common and rapidly spreading disease in the world is breast cancer. Most cases
of breast cancer are observed in females. Breast cancer can be controlled with early …

An Assessment on Cardiovascular Disease Prediction and Diagnosis using Machine Learning Algorithms

R Anuradha - Asian Journal For Convergence In Technology (AJCT) …, 2022 - asianssr.org
We live in a postmodern era, and our everyday lives are undergoing significant changes that
have a beneficial and negative impact on our health. As a result of these developments, the …

Classification of Mammogram Images by Using SVM and KNN

A Reddy, V Janarthanan, G Vikram, K Mamatha - International Journal of …, 2022 - ijie.ir
Breast cancer is a fairly diverse illness that affects a large percentage of women in the west.
A mammogram is an X-ray-based evaluation of a woman's breasts to see if she has cancer …

IoT-driven Smart Packaging for Pharmaceuticals: Ensuring Product Integrity and Patient Safety

R Raman, K Dhivya, P Sapra, S Gurpur… - … for Innovations in …, 2023 - ieeexplore.ieee.org
In this paper, an IoT-driven smart packaging in the pharmaceutical industry is developed to
maintain product integrity and improve patient safety. To monitor essential environmental …