Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review

GS Bhavekar, A Das Goswami, CP Vasantrao… - Multimedia Tools and …, 2024 - Springer
Cardiovascular disease holds the position of being the foremost cause of death worldwide.
Heart Disease Prediction (HDP) is a difficult task as it needs advanced knowledge with …

Travel-Hunt-Based deep CNN classifier: a nature-inspired optimization model for heart disease prediction

GS Bhavekar, AD Goswami - IETE Journal of Research, 2024 - Taylor & Francis
Diagnosing the health condition of heart disease patients using deep learning methods has
gained more insights into the healthcare sector and when concerned about the modality of …

Experimental Analysis of Heart Disease Prediction Using Machine Learning with Emphasis on Hyper Parameter Tuning and Recursive Feature Elimination.

SB Shinde, K Lahari, KC Garimella… - … Journal of Intelligent …, 2023 - search.ebscohost.com
Cardiovascular disease is any illness that makes the heart work less well. Researchers are
working on making smart systems that can correctly detect heart conditions from electronic …

[HTML][HTML] Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models

H Sadr, A Salari, MT Ashoobi… - … Journal of Medical …, 2024 - eurjmedres.biomedcentral.com
The incidence and mortality rates of cardiovascular disease worldwide are a major concern
in the healthcare industry. Precise prediction of cardiovascular disease is essential, and the …

Hybrid approach to medical decision-making: prediction of heart disease with artificial neural network

GS Bhavekar, PV Chafle, AD Goswami… - Bulletin of Electrical …, 2024 - beei.org
Heart disease prediction is important in today's world because it helps to reduce the
unpredictable death rate of patients, and cardiac diseases are considered one of the most …

[PDF][PDF] Prediction of Sepsis Using Light Gradient-Boosting Machine Classifier in Comparison with Adaboost Classifier Based on Accuracy

CNS Sreedhar, S Loganayagi - SPAST Reports, 2024 - spast.org
This study introduces a method to forecast sepsis employing the innovative LightGBM
classifier model, juxtaposing its improved accuracy against the Adaboost Classifier model …