Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review

JD Huang, J Wang, E Ramsey, G Leavey, TJA Chico… - Sensors, 2022 - mdpi.com
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: statistical approach vs machine learning approach

MS Tan, PL Cheah, AV Chin, LM Looi… - Computers in biology and …, 2021 - Elsevier
Alzheimer's Disease (AD) is a neurodegenerative disease that affects cognition and is the
most common cause of dementia in the elderly. As the number of elderly individuals …

[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction

M Ozcan, S Peker - Healthcare Analytics, 2023 - Elsevier
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …

Survival prediction of heart failure patients using motion-based analysis method

S Guo, H Zhang, Y Gao, H Wang, L Xu, Z Gao… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: Survival prediction of heart failure patients is critical to
improve the prognostic management of the cardiovascular disease. The existing survival …

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …

M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …

A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases

A Cuevas-Chavez, Y Hernandez, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

Prediction of cardiovascular disease risk based on major contributing features

M Peng, F Hou, Z Cheng, T Shen, K Liu, C Zhao… - Scientific Reports, 2023 - nature.com
The risk of cardiovascular disease (CVD) is a serious health threat to human society
worldwide. The use of machine learning methods to predict the risk of CVD is of great …

Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …

S Munjral, M Maindarkar, P Ahluwalia, A Puvvula… - Diagnostics, 2022 - mdpi.com
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …

[PDF][PDF] A web-based heart disease prediction system using machine learning algorithms

MM Rahman - Network Biology, 2022 - iaees.org
Disease diagnosis is the most critical task in the medical diagnosis system. At present, the
biggest challenge is to predict heart disease very quickly; for that limitation, the number of …

Risk factor refinement and ensemble deep learning methods on prediction of heart failure using real healthcare records

C Zhou, A Hou, P Dai, A Li, Z Zhang, Y Mu, L Liu - Information Sciences, 2023 - Elsevier
The prediction of heart failure (HF) is crucial in preventing disease progression by
implementing lifestyle changes and pharmacological interventions before the onset of heart …