Classification of gender ratio for diabetes affected people using blood sample data with voting classifier over support vector regression to achieve the higher accuracy
MS Reddy, K Malathi, V Ramakrishnan - AIP Conference Proceedings, 2024 - pubs.aip.org
The primary purpose of this study is to use unique blood sample data to the analysis of the
gender ratio for diabetes prediction. The Components and Procedures: Glucose level …
gender ratio for diabetes prediction. The Components and Procedures: Glucose level …
Web Application for Heart Disease Prediction using Machine Learning for Early Warning
Y Dubey, S Ambulkar, V Mathurkar… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Heart is an essential part of our body. People are leading to death due to heart diseases.
The deaths due to heart diseases are increasing in number day by day. The heart disease …
The deaths due to heart diseases are increasing in number day by day. The heart disease …
Comparison of heart disease prediction between basics and a Hybrid machine learning (ML) technique
SJ Yu, KS Dollmat - AIP Conference Proceedings, 2024 - pubs.aip.org
Heart disease is one of the main causes of death worldwide. Machine learning has been
discovered to be useful in creating predictions from massive amounts of data. We've also …
discovered to be useful in creating predictions from massive amounts of data. We've also …
Design & Development of Smart Electric Vehicle Safety Device by using IoT and AI
S Thombare, S Baral, A Gangrade… - … on Emerging Research …, 2022 - ieeexplore.ieee.org
As the usage of electric vehicles grows in popularity, the risk of accidents caused by them is
also drastically increased. High speed, drink-driving, distracting thoughts, overstress, and …
also drastically increased. High speed, drink-driving, distracting thoughts, overstress, and …
Cardiac Affliction Detection Using Improved Grasshopper Optimized CNN
B Shamna, CP Maheswaran - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The most significant cause of death globally is cardiovascular disease. Whenever an
accurate diagnosis is obtained at the earliest possible stage, cardiovascular problems are …
accurate diagnosis is obtained at the earliest possible stage, cardiovascular problems are …
A Review on Cardiovascular Disease/Heart Disease by Machine Learning Prediction
K Swathi, GK Kamalam - … Engineering for Industrial Processes: An Analytics …, 2024 - Springer
Cardiovascular diseases commonly referred to as heart diseases, constitute a wide-ranging
group of ailments impacting the heart. In our rapidly advancing technological era, machine …
group of ailments impacting the heart. In our rapidly advancing technological era, machine …
Heart Disease Prediction Using Ensemble Solutions and Exploring the Effect of Target Engineering with Pearson Correlation Based Feature Selection
Heart disease stands as one of the most intricate health conditions, affecting a substantial
population across the globe. The aim of this research is to add to the expanding knowledge …
population across the globe. The aim of this research is to add to the expanding knowledge …
Integrated Healthcare System for Saline Monitoring, Patient Communication, and Heart Disease Prediction Using IoT and Machine Learning Algorithms
A Amune, S Chavanke, S Joshi… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
The integration of IoT and ML technologies in the healthcare sector has brought significant
transformations, enhanced patient care and reducing costs. This research paper presents an …
transformations, enhanced patient care and reducing costs. This research paper presents an …
Enhancing Heart Disease Prediction with Multiple Imputation and Feature Selection in XGBoost
LCS Reddy, SG Pasha, HB Bandela… - … on Advancement in …, 2024 - ieeexplore.ieee.org
For cardiac disease prediction, this paper examines feature selection approaches such
Particle Swarm Optimization (PSO) and the Chi-square test with XGBoost. We analyze their …
Particle Swarm Optimization (PSO) and the Chi-square test with XGBoost. We analyze their …
Enhancing Heart Disease Prediction Using Artificial Neural Network with Preprocessing Techniques
R Mythili, AS Aneetha - … on Advancements in Smart Computing and …, 2023 - Springer
Heart disease and other cardiovascular disorders continue to be the most prevalent cause of
death. ML (Machine Learning) algorithms in particular have shown promise in forecasting for …
death. ML (Machine Learning) algorithms in particular have shown promise in forecasting for …