Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …
A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction
GS Rao, G Muneeswari - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
INTRODUCTION: Cardiovascular disease (CVD) is the most common cause of death
worldwide, and its prevalence is rising in low-resource settings and among those with lower …
worldwide, and its prevalence is rising in low-resource settings and among those with lower …
Early detection of cardiorespiratory complications and training monitoring using wearable ECG sensors and CNN
HY Lu, XM Feng, J Zhang - BMC Medical Informatics and Decision Making, 2024 - Springer
This research study demonstrates an efficient scheme for early detection of cardiorespiratory
complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for …
complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for …
Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease
KK Baseer, K Sivakumar, D Veeraiah… - … Signal Processing and …, 2024 - Elsevier
Heart disease is a widespread health problem that poses a significant global challenge. It
includes a variety of heart-related conditions such as heart failure, coronary artery disease …
includes a variety of heart-related conditions such as heart failure, coronary artery disease …
Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network
Y Liao, Z Tang, K Gao, M Trik - Heliyon, 2024 - cell.com
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These …
hold great promise for enhancing healthcare delivery and illness prevention efforts. These …
Golden Search Optimization based adaptive and diagonal kernel convolution neural network for disease prediction and securing IoT data in cloud
SJN Kumar, MMG Alam, TFM Raj, RU Mageswari - Applied Soft Computing, 2024 - Elsevier
Due to their open architecture, Internet of Things (IoT) devices have limited user access and
are susceptible to various security vulnerabilities. When healthcare data is stored in the …
are susceptible to various security vulnerabilities. When healthcare data is stored in the …
Deep edge intelligence-based solution for heart failure prediction in ambient assisted living
Heart failure and heart disease prediction in real-time is a highly significant necessity for the
patients living under the observation of Internet of Things-based Ambient Assisted Living …
patients living under the observation of Internet of Things-based Ambient Assisted Living …
Rule extraction based on PROMETHEE-assisted multi-objective genetic algorithm for generating interpretable neural networks
Rule extraction from artificial neural networks (ANNs) refers to the process of identifying the
underlying decision-making logic used by the network in its predictions. This involves …
underlying decision-making logic used by the network in its predictions. This involves …
Attaining an IoMT-based health monitoring and prediction: a hybrid hierarchical deep learning model and metaheuristic algorithm
PK Shukla, A Alqahtani, A Dwivedi, N Alqahtani… - Neural Computing and …, 2023 - Springer
Abstract Internet of Medical Things (IoMT) visualizes a network of medical devices and
society adopting wireless communications to enable interchange of healthcare data. IoMT is …
society adopting wireless communications to enable interchange of healthcare data. IoMT is …
Diseases diagnosis based on artificial intelligence and ensemble classification
Abstract Background In recent years, Computer Aided Diagnosis (CAD) has become an
important research area that attracted a lot of researchers. In medical diagnostic systems …
important research area that attracted a lot of researchers. In medical diagnostic systems …