Heart diseases prediction using machine learning

AL Yadav, K Soni, S Khare - 2023 14th International …, 2023 - ieeexplore.ieee.org
The medical field relies heavily on data analysis to accurately diagnose diseases. To
achieve this, various research methods must be filtered and appropriate equipment used …

Current research and new perspectives of telemedicine in chronic heart failure: narrative review and points of interest for the clinician

E Andrès, S Talha, AA Zulfiqar, M Hajjam… - Journal of Clinical …, 2018 - mdpi.com
Background: This is a narrative review of both the literature and Internet pertaining to
telemedicine projects within the field of heart failure, with special attention placed on remote …

Temporal association rule mining: An overview considering the time variable as an integral or implied component

A Segura‐Delgado, MJ Gacto, R Alcalá… - … : Data Mining and …, 2020 - Wiley Online Library
Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

HANP-Miner: High average utility nonoverlapping sequential pattern mining

Y Wu, M Geng, Y Li, L Guo, Z Li… - Knowledge-Based …, 2021 - Elsevier
Nonoverlapping sequential pattern mining (SPM) is a data analysis task, which aims at
identifying repetitive sequential patterns with gap constraint in a set of discrete sequences …

Heart disease prediction using IoT based framework and improved deep learning approach: medical application

G Rajkumar, TG Devi, A Srinivasan - Medical Engineering & Physics, 2023 - Elsevier
Heart disease is the biggest cause of death in the globe. The method of predicting cardiac
disease is exceedingly complex. It can only be done properly if the doctor has a lot of …

Supervised Machine Learning‐Based Cardiovascular Disease Analysis and Prediction

MDA Hossen, T Tazin, S Khan, E Alam… - Mathematical …, 2021 - Wiley Online Library
Cardiovascular illness, often commonly known as heart disease, encompasses a variety of
diseases that affect the heart and has been the leading cause of mortality globally in recent …

Diagnosis of chronic ischemic heart disease using machine learning techniques

S Shehzadi, MA Hassan, M Rizwan… - Computational …, 2022 - Wiley Online Library
Ischemic heart disease (IHD) causes discomfort or irritation in the chest. According to the
World Health Organization, coronary heart disease is the major cause of mortality in …

Anomaly Detection in Heart Disease Using a Density‐Based Unsupervised Approach

YA Nanehkaran, Z Licai, J Chen… - Wireless …, 2022 - Wiley Online Library
Cardiovascular disease is one of the most common diseases in the modern world, which, if
diagnosed early, can greatly reduce the damage to the patient. Diagnosis of heart disease …

Big data features, applications, and analytics in cardiology—a systematic literature review

S Nazir, M Nawaz, A Adnan, S Shahzad… - IEEE Access, 2019 - ieeexplore.ieee.org
In today's digital world the information surges with the widespread use of the internet and
global communication systems. Healthcare systems are also facing digital transformations …

DISNET: a framework for extracting phenotypic disease information from public sources

G Lagunes-García, A Rodríguez-González… - PeerJ, 2020 - peerj.com
Background Within the global endeavour of improving population health, one major
challenge is the identification and integration of medical knowledge spread through several …