Artificial intelligence in precision cardiovascular medicine

C Krittanawong, HJ Zhang, Z Wang, M Aydar… - Journal of the American …, 2017 - jacc.org
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought
processes, learning capacity, and knowledge storage. AI techniques have been applied in …

A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

A decision support system for heart disease prediction based upon machine learning

P Rani, R Kumar, NMOS Ahmed, A Jain - Journal of Reliable Intelligent …, 2021 - Springer
Detection of heart disease through early-stage symptoms is a great challenge in the current
world scenario. If not diagnosed timely then this may become the cause of death. In …

Association and risk factors for obstructive sleep apnea and cardiovascular diseases: a systematic review

AK Mitra, AR Bhuiyan, EA Jones - Diseases, 2021 - mdpi.com
Obstructive sleep apnea (OSA) is a serious, potentially life-threatening condition.
Epidemiologic studies show that sleep apnea increases cardiovascular diseases risk factors …

Detection of cardiovascular diseases in ECG images using machine learning and deep learning methods

MB Abubaker, B Babayiğit - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …

A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow …

SWA Sherazi, JW Bae, JY Lee - PloS one, 2021 - journals.plos.org
Objective Some researchers have studied about early prediction and diagnosis of major
adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this …

Machine learning techniques for classification of diabetes and cardiovascular diseases

B Alić, L Gurbeta, A Badnjević - 2017 6th mediterranean …, 2017 - ieeexplore.ieee.org
This paper presents the overview of machine learning techniques in classification of
diabetes and cardiovascular diseases (CVD) using Artificial Neural Networks (ANNs) and …

Disease diagnosis in smart healthcare: Innovation, technologies and applications

KT Chui, W Alhalabi, SSH Pang, PO Pablos, RW Liu… - Sustainability, 2017 - mdpi.com
To promote sustainable development, the smart city implies a global vision that merges
artificial intelligence, big data, decision making, information and communication technology …

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad… - IOP conference …, 2020 - iopscience.iop.org
Cardiovascular Disease or coronary illness is one of the significant dangerous infections in
India as well as in the entire world. It is estimated that 28.1% of deaths occur due to heart …

Optimized levy flight model for heart disease prediction using CNN framework in big data application

A Jain, ACS Rao, PK Jain, YC Hu - Expert Systems with Applications, 2023 - Elsevier
Cardiac disease is one of the most complex diseases globally. It affects the lives of humans
critically. It is essential for accurate and timely diagnosis to treat heart failure and prevent the …