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[HTML][HTML] The role of digital technologies in production systems for achieving sustainable development goals
Recently, the academic and scientific debate has been strongly focused on the use of digital
technologies to address sustainability issues. In particular, the use of digital technologies …
technologies to address sustainability issues. In particular, the use of digital technologies …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
Effective heart disease prediction using hybrid machine learning techniques
Heart disease is one of the most significant causes of mortality in the world today. Prediction
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
of cardiovascular disease is a critical challenge in the area of clinical data analysis. Machine …
Big data analytics for preventive medicine
Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …
can healthcare providers use modern data analytics tools and technologies to analyze and …
Improving heart disease prediction using feature selection approaches
Heart Disease is the disorder of heart and blood veins. It is very difficult for medical
practitioners and doctors to predict accurate about heart disease diagnosis. Data science is …
practitioners and doctors to predict accurate about heart disease diagnosis. Data science is …
[PDF][PDF] A survey on Data Mining approaches for Healthcare
Data Mining is one of the most motivating area of research that is become increasingly
popular in health organization. Data Mining plays an important role for uncovering new …
popular in health organization. Data Mining plays an important role for uncovering new …
Improving the accuracy for analyzing heart diseases prediction based on the ensemble method
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 …
An optimized feature selection based on genetic approach and support vector machine for heart disease
Heart disease diagnosis is found to be a challenging issue which can offer a computerized
estimate about the level of heart disease so that supplementary action can be made easy …
estimate about the level of heart disease so that supplementary action can be made easy …
HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing
In the context of the global health crisis of 2020, the tendency of many people to self-
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
diagnose at home virtually, prior to any physical interaction with medical professionals, has …
An analytical method for diseases prediction using machine learning techniques
The use of medical datasets has attracted the attention of researchers worldwide. Data
mining techniques have been widely used in develo** decision support systems for …
mining techniques have been widely used in develo** decision support systems for …