Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art

A Garavand, A Behmanesh, N Aslani… - … Journal of Intelligent …, 2023 - Wiley Online Library
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …

An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study

SR Mirjalili, S Soltani, Z Heidari Meybodi… - Cardiovascular …, 2023 - Springer
Background Various predictive models have been developed for predicting the incidence of
coronary heart disease (CHD), but none of them has had optimal predictive value. Although …

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

MM Islam, MJ Alam, M Maniruzzaman, NAMF Ahmed… - Plos one, 2023 - journals.plos.org
Background and objectives Hypertension (HTN), a major global health concern, is a leading
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …

Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

J Hu, H Qian, S Han, P Zhang, Y Lu - Nano-Micro Letters, 2024 - Springer
Early non-invasive diagnosis of coronary heart disease (CHD) is critical. However, it is
challenging to achieve accurate CHD diagnosis via detecting breath. In this work …

Fungal skin disease classification using the convolutional neural network

TD Nigat, TM Sitote, BM Gedefaw - Journal of Healthcare …, 2023 - Wiley Online Library
Skin is the outer cover of our body, which protects vital organs from harm. This important
body part is often affected by a series of infections caused by fungus, bacteria, viruses …

Novel methods of ai-based gait analysis in post-stroke patients

I Rojek, P Prokopowicz, J Dorożyński, D Mikołajewski - Applied Sciences, 2023 - mdpi.com
Featured Application Potential applications of the findings presented in this article include
low-cost, fast, and simple gait analysis systems for use by primary care physicians …

Improving spam email classification accuracy using ensemble techniques: a stacking approach

M Adnan, MO Imam, MF Javed, I Murtza - International Journal of …, 2024 - Springer
Spam emails pose a substantial cybersecurity danger, necessitating accurate classification
to reduce unwanted messages and mitigate risks. This study focuses on enhancing spam …

Disulfidptosis-associated lncRNAs predict breast cancer subtypes

Q Xia, Q Yan, Z Wang, Q Huang, X Zheng, J Shen… - Scientific Reports, 2023 - nature.com
Disulfidptosis is a newly discovered mode of cell death. However, its relationship with breast
cancer subtypes remains unclear. In this study, we aimed to construct a disulfidptosis …

Digital transformation for sustainable health and well-being: a review and future research directions

K Hameed, R Naha, F Hameed - Discover Sustainability, 2024 - Springer
Ensuring good health and well-being is one of the crucial Sustainable Development Goals
(SDGs) that aims to promote healthy lives and well-being for people of all ages. This …

AI in the field of healthcare: A new paradigm examining facilitators and biases through SEM-ANN

U Tandon, M Taneja, A Mittal - International Journal of Human …, 2024 - Taylor & Francis
The present investigation aims to examine the influence of various facilitators and biases on
the behavioral intention (BI), which in turn lead to actual implementation of Artificial …