A Review of Machine Learning Techniques Used in the Prediction of Heart Disease

CS Chaithra, S Siddesha… - Revue d'Intelligence …, 2024 - search.proquest.com
Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …

Cardiovascular Disease Prediction Using Hybrid-Random-Forest-Linear-Model (HRFLM)

AS Sathwik, B Naseeba… - 2023 IEEE World …, 2023 - ieeexplore.ieee.org
Heart complications has become very common disease among all the age group persons
across the globe. The computation techniques available in the market are based different …

[HTML][HTML] Heart disease detection using machine learning methods: a comprehensive narrative review

M Hajiarbabi - Journal of Medical Artificial Intelligence, 2024 - jmai.amegroups.org
Methods: Given the seriousness of these issues, researchers have developed various
methods for detecting heart diseases. This paper presents a systematic and detailed review …

Early Detection of Monkeypox Skin Disease Using Patch Based DL Model and Transfer Learning Techniques

AS Sathwik, B Naseeba, JC Kiran… - … on Pervasive Health …, 2023 - publications.eai.eu
In the field of medicine, it is very important to prognosticate diseases early to cure them from
their initial stages. Monkeypox is a viral zoonosis with symptoms similar to the smallpox as it …

The model interpretability on SHAP and comparison classification selection feature for heart disease prediction

AS Sunge, AT ZY, DK Pramudito… - Procedia Computer …, 2024 - Elsevier
How to predict coronary heart disease is a very important factor in determining human
safety, because it can cause various complications, the most fatal of which is death …

Automated Heart Diagnostic System Using KNN, GNB, LR & Decision Tree

P Agarwal, S Bhardwaj - 2023 10th IEEE Uttar Pradesh …, 2023 - ieeexplore.ieee.org
Heart disease constitutes a significant health concern, causing one death every minute. The
timely prediction of heart disease is of paramount importance, and machine learning can be …

Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning

AK Rai, M Sharma, V Saravanan… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The transforming potential of Q-Learning in customized medical recommendations is
examined in this study. Its performance in comparison to conventional methods, strategic …

Forecasting the Risk of Heart Disease Using Recurrent Neural Network

A Bollapalli, NP Challa - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Cardiovascular disease is a prevalent worldwide occurrence. The accurate identification of
this matter holds significant importance for individuals. Cardiac disease advances gradually …

Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning

P Tamrakar, GR Pathak, M Lal, A Goel… - … Conference on Machine …, 2024 - Springer
The transforming potential of Q-Learning in customized medical recommendations is
examined in this study. Its performance in comparison to conventional methods, strategic …

Edge-based Heart Disease Prediction using Federated Learning

GJL Paulraj, IJR Jebadurai, SP Janani… - … on Cognitive Robotics …, 2024 - ieeexplore.ieee.org
Cardiovascular diseases are one of major causes for death globally. Prediction of these
diseases becomes a bit complex in the fields like clinical analysis. It is observed that over …