Roles of AI in Healthcare
NP Apriyanto, N Alamsyah, O Wijaya… - 2024 International …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) has transformed the healthcare landscape, introducing capabilities
that span from predictive diagnostics to personalized treatment strategies. This review …
that span from predictive diagnostics to personalized treatment strategies. This review …
Hybrid Machine Learning Approaches for Robust Heart Disease Prediction: A Comprehensive Analysis
SA Reddy, SK GAE, M Bhavana… - 2024 6th International …, 2024 - ieeexplore.ieee.org
In addressing the global increase in prevalence of heart disease and its consequences for
public wellness, this research emphasizes the need to have reliable prediction models. It is …
public wellness, this research emphasizes the need to have reliable prediction models. It is …
Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM
This study aims to achieve the improved performance of heart disease prediction based on
the increased level of preprocessing and rather effective feature selection approaches …
the increased level of preprocessing and rather effective feature selection approaches …
Enhanced Detection of Chronic Heart Disease: A Novel Approach With Extreme Gradient Boosting-Logistic Regression Algorithm
G Kiruthiga, L Shakkeera, V Jacob… - Journal of Electrical …, 2024 - search.proquest.com
In recent years, biomedical healthcare applications for managing and treating chronic heart
diseases have increased. Chronic heart disease is a serious and sometimes deadly ailment …
diseases have increased. Chronic heart disease is a serious and sometimes deadly ailment …
Detect the Cardiovascular Disease's in Initial Phase using a Range of Feature Selection Techniques of ML
Heart-related conditions remain the foremost global cause of mortality. In 2000, heart
disease claimed around 14 million lives worldwide, a number that surged to approximately …
disease claimed around 14 million lives worldwide, a number that surged to approximately …
Assessment of Cardiovascular Disease Using Machine Learning
D Adusumilli, SL Damineni, S Kailasam… - Revue d' …, 2024 - search.proquest.com
Cardiovascular disease (CVD) is a prominent contributor to global mortality rates. The
principal aim of this research is to employ machine learning techniques to anticipate the …
principal aim of this research is to employ machine learning techniques to anticipate the …
A COMPARATIVE ANALYSIS OF MACHINE LEARNING FOR THE EARLY DIAGNOSIS AND IDENTIFICATION OF CARDIOVASCULAR DISEASES
P Dangi - EPH-International Journal of Mathematics and …, 2024 - eijms.com
With the advent of advanced digital technologies revolutionizing the healthcare sector
through artificial intelligence and machine learning, there is a significant focus on accurate …
through artificial intelligence and machine learning, there is a significant focus on accurate …
[引用][C] Corrections to “Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection”
T Ullah, SI Ullah, K Ullah, M Ishaq, A Khan… - IEEE …, 2024 - ieeexplore.ieee.org
Corrections to “Machine Learning-Based Cardiovascular Disease Detection Using
Optimal Feature Selection” Page 1 Received 25 October 2024, accepted 25 October …
Optimal Feature Selection” Page 1 Received 25 October 2024, accepted 25 October …