[PDF][PDF] Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualisation
Hybrid combinations of feature selection, classification and visualisation using machine
learning (ML) methods have the potential for enhanced understanding and 30-day mortality …
learning (ML) methods have the potential for enhanced understanding and 30-day mortality …
A genetic algorithm based ensemble approach for categorical data clustering
JP Goswami, AK Mahanta - 2015 Annual IEEE India …, 2015 - ieeexplore.ieee.org
In this paper, we propose a genetic algorithm based procedure to combine different
clustering solutions obtained for the same data set to construct a relatively good solution …
clustering solutions obtained for the same data set to construct a relatively good solution …
[PDF][PDF] Interval Data Clustering
JP Goswami, AK Mahanta - IOSR J. Comput. Eng, 2020 - academia.edu
In this paper, a new framework for clustering interval data has been proposed. In this frame
work, each cluster is represented by a representative which is a fuzzy set. First, we define …
work, each cluster is represented by a representative which is a fuzzy set. First, we define …
Survival Versus Non-Survival Prediction After Acute Coronary Syndrome in Malaysian Population Using Machine Learning Technique
N Aziida - 2019 - search.proquest.com
Prediction, identification, understanding and visualization of relationship between factors
affecting mortality in ACS patients using feature selection and ML algorithms. Feature …
affecting mortality in ACS patients using feature selection and ML algorithms. Feature …
Survival versus non-survival prediction after acute coronary syndrome in Malaysian population using machine learning technique/Nanyonga Aziida
A Nanyonga - 2019 - studentsrepo.um.edu.my
Prediction, identification, understanding and visualization of relationship between factors
affecting mortality in ACS patients using feature selection and ML algorithms. Feature …
affecting mortality in ACS patients using feature selection and ML algorithms. Feature …