A novel scheme for classification of epilepsy using machine learning and a fuzzy inference system based on wearable-sensor health parameters

A Kadu, M Singh, K Ogudo - Sustainability, 2022 - mdpi.com
The tremendous growth of health-related digital information has transformed machine
learning algorithms, allowing them to deliver more relevant information while remotely …

Lidom: A Disease Risk Prediction Model Based on LightGBM Applied to Nursing Homes

F Zhou, S Hu, X Du, X Wan, Z Lu, J Wu - Electronics, 2023 - mdpi.com
With the innovation of technologies such as sensors and artificial intelligence, some nursing
homes use wearable devices to monitor the movement and physiological indicators of the …

Operations research and health systems: a literature review

S Shetaban, MM Seyyed Esfahani… - Journal of Industrial …, 2020 - jiems.icms.ac.ir
Todays, human health is in the best situation ever. The progress of vaccines, development of
hospitals, new medicines, advanced medical equipment, and new treatments preventing …

Data Science Framework-Heart Disease Predictions, Variant Models and Visualizations

CS Prakash, MM Bala, A Rudra - … International Conference on …, 2020 - ieeexplore.ieee.org
Heart disease refers to a condition where the blood vessels are blocked and the heart stops
functioning. Many of the researches are concluded that this disease has become number …

An Efficient Imbalance-Aware Federated Learning Approach for Wearable Healthcare with Autoregressive Ratio Observation

W Yan, H Li, K Ota, M Dong - arXiv preprint arXiv:2310.14784, 2023 - arxiv.org
Widely available healthcare services are now getting popular because of advancements in
wearable sensing techniques and mobile edge computing. People's health information is …

Visualization and prediction of heart diseases using data science framework

V Gupta, V Aggarwal, S Gupta… - … on Electronics and …, 2021 - ieeexplore.ieee.org
Heart is one the most vital organ in the human body. When we talk about heart diseases, we
can have multiple conditions where heart is not working the way it should be like blockage in …

Early Exposing Cardiovascular Disease Identification Using Machine Learning Approach

MDK Islam, SJ Boshra, M Rahman… - 2022 13th …, 2022 - ieeexplore.ieee.org
Nowadays Cardiovascular disease is most important topics in medical sector. Numerous
people all over the world affected with this disease and it is going alarming to the world …

Heart Disease Prediction Using Decision Tree and Random Forest Classification Techniques

N Kapoor, P Singh - Applications of Big Data in Large-and Small …, 2021 - igi-global.com
Data mining is the approach which can extract useful information from the data. The
prediction analysis is the approach which can predict future possibilities based on the …

Effective Prediction of Cardiovascular Disease Using Deep Learning

LSP Annabel, BS Sruthi, M Rohini… - … Conference on Information …, 2023 - Springer
Today's leading cause of death worldwide is cardiovascular disease, which has risen to the
top of the list of diseases in terms of diagnostic difficulty. Cardiovascular disease is more …

Secured Fog Computing Based Framework for Intelligent Health Diagnosis Using Deep Learning and Internet of Things (IoT)

AK Kadu, MS Singh, AG Gandam, GG Gupta, PM Malik… - 2024 - researchsquare.com
With the proliferation of IoT devices and cloud-based data processing technologies, cutting-
edge smart, linked healthcare systems may be created. Smart healthcare systems examine …