Prediction of Cardiac Severity Based on ECG Images Using Deep Learning Models

N Panchal, MM Raikar… - 2024 Second International …, 2024 - ieeexplore.ieee.org
With cardiovascular illnesses still posing a serious threat to world health, there is a growing
demand for sophisticated diagnostic instruments that can precisely forecast the heart …

Cardiovascular Disease Prediction Using Randelistic Algorithm

M Ananthi, AS Narayanan, DP TP - … Conference on Circuit …, 2023 - ieeexplore.ieee.org
Diagnosis of heart diseases pose a major problem due to human error and faulty
interpretation of data. Existing medical tools are costly and has a higher percentage of true …

Prediction of Heart Diseases using Advanced Learning and Data Analytics Approach

SR Fardibha, PH Basha… - … Conference on Inventive …, 2024 - ieeexplore.ieee.org
Heart disease is still a significant global public health concern, making it necessary to create
precise prediction models to identify those who are at risk. The study suggests using data …

Advisory System Using Sentiment Analysis (ASSA) for Improved Student Feedback and Academic Advising

AM Shafi, S Mouti - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
An Advisory System using Sentiment Analysis (ASSA) is proposed to analyze student
reviews and assist faculty and university officials in addressing challenging areas of …

Assessing and Exploring Machine Learning Techniques for Cardiovascular Disease Prediction using Cleveland and Framingham Datasets

J Roopini, BG Deepa, NG Pooja - 2024 Second International …, 2024 - ieeexplore.ieee.org
Heart disease prediction using machine learning has garnered significant attention due to its
potential for early diagnosis and intervention. This study presents an analysis of various …

Digital Twins for Healthcare and Telecommunications Applications: A Survey

S Ibrahim, N Salhab - … on Data Analytics for Business and …, 2023 - ieeexplore.ieee.org
Being a virtual model, designed to accurately reflect a physical object, Digital Twins (DTs)
are gaining a lot of attention, nowadays. Indeed, by providing a virtual copy of a living or a …

Patient Health Monitoring System for Chronic Cardiac Attack Using Machine Learning

R Ghosh - International Conference on Nonlinear Dynamics and …, 2024 - Springer
Cardiovascular disease is one of the prime principles of the demise globally. In nowadays
usual contemporary life, demises on account of the cardiovascular disease had turn into one …

Heart Disease Prediction using Machine Learning

S Telsang, T Pokale, A Posugade… - 2024 IEEE North …, 2024 - ieeexplore.ieee.org
Heart attack and other heart diseases have acted as the major global cause of mortality. In
accordance with WHO, about 32% death was due to cardiovascular disease, among which …

Blockchain–Driven Health Record Storage and Disease Prediction Using Machine Learning

GK Ramadayaal, D Sneha, T Kumar… - … on Advances in …, 2024 - ieeexplore.ieee.org
The healthcare industry has been facing persistent challenges in managing patient health
records, including transparency issues, data breaches, and inefficient data sharing across …

Assessing the Robustness of Machine Learning Algorithms for Cardiovascular Disease Detection Across Diverse Clinical Datasets

MD Proma, K Akther, BS Priya… - 2023 1st …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVD) continue to pose significant health risks globally,
accentuating the need for early and precise detection mechanisms. With the evolution of …