Expert systems: Definitions, advantages and issues in medical field applications
The aim of this review is to provide a broad overview of the state-of-the-art works mainly
published in the last ten years on expert systems applied in different medical domains …
published in the last ten years on expert systems applied in different medical domains …
[HTML][HTML] An optimized XGBoost based diagnostic system for effective prediction of heart disease
K Budholiya, SK Shrivastava, V Sharma - Journal of King Saud University …, 2022 - Elsevier
Researchers have created several expert systems over the years to predict heart disease
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …
[HTML][HTML] A comparative study of classification and prediction of Cardio-Vascular Diseases (CVD) using Machine Learning and Deep Learning techniques
M Swathy, K Saruladha - ICT express, 2022 - Elsevier
Abstract Cardio-Vascular Diseases (CVD) are found to be rampant in the populace leading
to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due …
to fatal death. The statistics of a recent survey reports that the mortality rate is expanding due …
An intelligent learning system based on random search algorithm and optimized random forest model for improved heart disease detection
Heart failure is considered one of the leading cause of death around the world. The
diagnosis of heart failure is a challenging task especially in under-developed and …
diagnosis of heart failure is a challenging task especially in under-developed and …
An Automated Diagnostic System for Heart Disease Prediction Based on Statistical Model and Optimally Configured Deep Neural Network
Different automated decision support systems based on artificial neural network (ANN) have
been widely proposed for the detection of heart disease in previous studies. However, most …
been widely proposed for the detection of heart disease in previous studies. However, most …
An optimized stacked support vector machines based expert system for the effective prediction of heart failure
About half of the people who develop heart failure (HF) die within five years of diagnosis.
Over the years, researchers have developed several machine learning-based models for the …
Over the years, researchers have developed several machine learning-based models for the …
Improving the accuracy for analyzing heart diseases prediction based on the ensemble method
XY Gao, A Amin Ali, H Shaban Hassan… - Complexity, 2021 - Wiley Online Library
Heart disease is the deadliest disease and one of leading causes of death worldwide.
Machine learning is playing an essential role in the medical side. In this paper, ensemble …
Machine learning is playing an essential role in the medical side. In this paper, ensemble …
Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
Heart Disease (HD) is often regarded as one of the deadliest human diseases. Therefore,
early prediction of HD risks is crucial for prevention and treatment. Unfortunately, current …
early prediction of HD risks is crucial for prevention and treatment. Unfortunately, current …
[PDF][PDF] Fusion-Based Machine Learning Architecture for Heart Disease Prediction.
The contemporary evolution in healthcare technologies plays a considerable and significant
role to improve medical services and save human lives. Heart disease or cardiovascular …
role to improve medical services and save human lives. Heart disease or cardiovascular …
A medical decision support system for disease diagnosis under uncertainty
This paper presents a decision support system (DSS) modeled by a fuzzy expert system
(FES) for medical diagnosis to help physicians make better decisions. The proposed system …
(FES) for medical diagnosis to help physicians make better decisions. The proposed system …