Supervised ensemble classifier algorithm for prediction of liver disease, lung cancer and brain stroke
Keywords:
liver, lung cancer, brain stroke, ensemble classification, hybrid machine learning supervised classifiersAbstract
Many diseases are increasing day by day and it takes too much time to detect. In India after Covid-19 pandemic so many diseases have been spread their era. Like Liver Disease, Lung cancer and Brain Stroke. They are among us and lethal diseases which need to predict earlier or in initial stage. Machine Learning (ML) is the subset of Artificial intelligent which can imitate like human intelligence and it can process the large information. The classification or prediction of those diseases can be done by classifiers. The disease prediction is the method which can predict future of Liver diseases, Lung Cancer and Brain Stroke possibilities based on the collection of historical dataset. In this paper we will use Hybrid Ensemble Classifier Model (HECM) which is the combination of Supervised Classifiers like LightGBM, Random Forest, KNN used as Ensemble Classifier then output given to Voting classifier for final output. Accuracy and time will be calculate
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