An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques

A Kumar, SS Sanjith, R Cherukuru, VK Verma… - Data Engineering for …, 2022 - Springer
Data mining refers to analyzing an existing dataset related to heart patients from which
patterns are discovered within the dataset, and hence we are able to find out meaningful …

ELM and LIGHTGBM: A Hybrid Machine Learning Technique with Intelligent IOT to Predict the cardiovascular disease

GS Rao, G Muneeswari - Karbala International Journal of …, 2024 - kijoms.uokerbala.edu.iq
Cardiologists can more accurately classify a patient's condition by performing an accurate
diagnostic and prognosis of cardiovascular disease (CVD). The clinical diagnosis, and …

MLPPCA: Heart Disease Detection using Machine learning

R Aggarwal, S Kumar - 2022 Seventh International Conference …, 2022 - ieeexplore.ieee.org
Detection of heart disease at early stage is very difficult and challenging task by the medical
physicians without the examination of disease. Heart disease is common disease …

Diagnosis of Heart Stroke Using Feature Extraction and Sequential Learning Based Models

R Agrawal, MK Gourisaria… - 2022 10th International …, 2022 - ieeexplore.ieee.org
In today's world, Heart Failure and Stroke are one of the leading causes of death worldwide
and are the third leading cause of death and long-term illness in the United States. As per …

[PDF][PDF] Hybridization of Swarm for Features Selection to Modeling Heart Attack Data

OS Hasan, IA Saleh - AL-Rafidain Journal of Computer Sciences and …, 2022 - iasj.net
Predicting heart attacks using machine learning is an important topic. Medical data sets
contain different features, some of which are related to the target group for prediction and …

[PDF][PDF] 面向企业生产集成系统的物料推荐系统

吴文李, 范小朋, 周庚申, 黄羿, 曹旸, 林桂婵 - 中国机械工程, 2019 - qikan.cmes.org
针对目前生产制造信息平台因多系统集成带来的物品检索量过大, 信息冗余, 人工筛选耗时,
不支持近似查询等问题, 提出一个可集成于当前工业信息系统的“物品用户” 组合推荐模型 …

Prediction of Heart Disease Using Machine Learning

S Mohapatra, J Dash, S Mohanty… - Handbook of Research …, 2022 - api.taylorfrancis.com
The heart is the organ that controls the progression of blood in the body or the focal point of
human feeling. It is the most vital organ found in the chest pit of people. Due to the lack of …

[PDF][PDF] Heart attack prediction using neural network and different online learning methods

RK Antar, ST ALotaibi, M AlGhamdi - International Journal of …, 2021 - researchgate.net
Heart Failure represents a critical pathological case that is challenging to predict and
discover at an early age, with a notable increase in morbidity and mortality. Machine …

A review: Data mining techniques in healthcare

P Chaudhary, P Sharma, A Gataum - AIP Conference Proceedings, 2023 - pubs.aip.org
Data mining is the process of obtaining valuable data from the big collection of raw data. The
healthcare industry is onewhich collects a large amount of data that is not properly used so …

A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease

A Al Mahmud, A Karim, I Ullah Khan, P Ghosh… - Proceedings of the 10th …, 2022 - dl.acm.org
Globally, chronic liver disease is a significant cause of death, affecting a large number of
people. The liver can be damaged by several factors. Obesity, undiagnosed hepatitis, and …