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Chapter and Conference Paper
Prediction of Liver Disease Using Machine Learning Approaches Based on KNN Model
The liver, the most crucial interior organ of the human body, performs functions of metabolism control and food digestion. Liver disorders can sometimes prove fatal, and appropriate treatment at the right time...
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Chapter and Conference Paper
Performance Analysis of Machine Learning Algorithms for Prediction of Cerebral Attack (Stroke)
In this study, we have analysed the behaviour and performance of twelve machine learning (ML) algorithms in prediction of cerebral attack (stroke). The ML algorithms used were light gradient boosting machine (...
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Chapter and Conference Paper
Binary Classification of Thyroid Using Comprehensive Set of Machine Learning Algorithms
Binary classification of Thyroid has been observed in several manuscripts in literature. This study also classifies the disease using twelve machine learning algorithms. The results are compared with existing ...
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Chapter and Conference Paper
Graded Classification of Liver Cirrhosis Using Machine Learning Algorithms on a Highly Unbalanced Dataset
Liver cirrhosis is the fibrosis of liver caused by a long-term damage of the organ. This study classifies the disease in four classes based on a highly unbalanced dataset having 18 features and a data count of...
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Chapter and Conference Paper
Machine Learning Based Malicious Node Detection in IoT Environment
Internet of Things is the most promising technology that is trying to transform the way in which we live and is expected to seamlessly get integrated into our environment. However, securing the IoT devices fro...