Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making
The pandemic has forced people to use digital technologies and accelerated the
digitalization of many businesses. Using digital technologies generates a huge amount of …
digitalization of many businesses. Using digital technologies generates a huge amount of …
A heart disease prediction model based on feature optimization and smote-Xgboost algorithm
J Yang, J Guan - Information, 2022 - mdpi.com
In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
A clinical decision support system for heart disease prediction using deep learning
Unfortunately, heart disease is currently the primary cause of mortality worldwide and its
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
incidence is increasing. Detecting heart disease in its initial stages before a cardiac event …
Diagnosis of cardiovascular disease using deep learning technique
Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …
[HTML][HTML] Design and implementation of an automatic nursing assessment system based on CDSS technology
L Dai, Z Wu, X Pan, D Zheng, M Kang, M Zhou… - International Journal of …, 2024 - Elsevier
Background Various quantitative and quality assessment tools are currently used in nursing
to evaluate a patient's physiological, psychological, and socioeconomic status. The results …
to evaluate a patient's physiological, psychological, and socioeconomic status. The results …
Design and Simulation of an Edge Compute Architecture for IoT-Based Clinical Decision Support System
Clinical Decision Support Systems (CDSS) have revolutionized healthcare by leveraging
modern technologies such as internet of things (IoT), artificial intelligence (AI), predictive …
modern technologies such as internet of things (IoT), artificial intelligence (AI), predictive …
An Integrated Approach to Next-Generation Telemedicine and Health Advice Systems Through AI Applications in Disease Diagnosis
This chapter explores the transformative potential of integrating knowledge engineering and
artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical …
artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical …
An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Cardiovascular disease (CVD) is a leading cause of death globally; therefore, early
detection of CVD is crucial. Many intelligent technologies, including deep learning and …
detection of CVD is crucial. Many intelligent technologies, including deep learning and …
Enhanced Stacked Ensemble-Based Heart Disease Prediction with Chi-Square Feature Selection Method
Heart disease (HD) is the primary cause of death globally, requiring more accurate,
affordable diagnostic technologies. Traditional HD diagnostic methods are adequate but …
affordable diagnostic technologies. Traditional HD diagnostic methods are adequate but …
A New Efficient and Privacy-Preserving Hybrid Classification model for Patient-Centric Clinical Decision Support System
SP Rathinaeaswari, V Santhi - Journal of Advanced Research …, 2023 - semarakilmu.com.my
A lot of focus has recently been placed on clinical decision support systems, that use
advanced data mining methods to assist clinicians in making wise decisions. Along with …
advanced data mining methods to assist clinicians in making wise decisions. Along with …