[PDF][PDF] Analyzing predictive algorithms in data mining for cardiovascular disease using WEKA tool

RS Chhillar - International Journal of Advanced …, 2021 - pdfs.semanticscholar.org
Cardiovascular Disease (CVD) is the foremost cause of death worldwide that generates a
high percentage of Electronic Health Records (EHRs). Analyzing these complex patterns …

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT

R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - ingentaconnect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …

Heart Disease Prediction under Machine Learning and Association Rules under Neutrosophic Environment

AA El-Douh, SF Lu, A Abdelhafeez… - Neutrosophic …, 2023 - sciencesforce.com
Early identification and precise prediction of heart disease have important implications for
preventative measures and better patient outcomes since cardiovascular disease is a …

Heart disease prediction system using Correlation Based Feature Selection with Multilayer Perceptron approach.

AM Kuruvilla, NV Balaji - IOP conference series: materials …, 2021 - iopscience.iop.org
Cardiac disease prediction helps physicians to make accurate recommendations on the
treatment of the patients. The use of machine learning (ML) is one of the solution for …

[PDF][PDF] A novel salp swarm clustering algorithm for prediction of the heart diseases

N Sureja, B Chawda, A Vasant - Indonesian Journal of Electrical …, 2022 - academia.edu
Heart diseases have a severe impact on human life and health. Cardiovascular deaths and
diseases have increased at a fast rate worldwide. The early prediction of these diseases is …

[Retracted] An Image Processing Approach for Detection of Prenatal Heart Disease

S Selvan, SJJ Thangaraj… - BioMed Research …, 2022 - Wiley Online Library
Prenatal heart disease, generally known as cardiac problems (CHDs), is a group of ailments
that damage the heartbeat and has recently now become top deaths worldwide. It connects …

[PDF][PDF] Review of existing datasets used for software effort estimation

M Rahman, T Goncalves, H Sarwar - Int. J. Adv. Comput. Sci. Appl., 2023 - academia.edu
The Software Effort Estimation (SEE) tool calculates an estimate of the amount of work that
will be necessary to effectively finish the project. Managers usually want to know how hard a …

An AI enabled framework with feature selection for efficient heart disease prediction

K Narsimhulu, NS Ramchander… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Machine learning (ML) techniques as part of Artificial Intelligence (AI) are widely used to
solve real world problems. They are widely used in healthcare domain. Many supervised ML …

Improving prediction of chronic heart failure using smote and machine learning

S Priyadarshinee, M Panda - 2022 Second International …, 2022 - ieeexplore.ieee.org
Around the world, cardiovascular disease (CVD) is a vital reason for death and morbidity.
Predicting heart disease survivors is a significant challenge in clinical data analytics …

Machine learning and biomedical sub-terahertz/terahertz technology

SK Koul, P Kaurav - Sub-Terahertz Sensing Technology for Biomedical …, 2022 - Springer
Various biomedical applications have been demonstrated using sub-THz/THz spectroscopy
and imaging in previous chapters. In order to perform tasks such as signal processing and …