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Article
Question classification task based on deep learning models with self-attention mechanism
Question classification (QC) is a process that involves classifying questions based on their type to enable systems to provide accurate responses by matching the question type with relevant information. To und...
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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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Article
Brain stroke prediction model based on boosting and stacking ensemble approach
The concern of brain stroke increases rapidly in young age groups daily. The leading causes of death from stroke globally will rise to 6.7 million yearly if untreated and undetected by early estimates by WHO i...
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Chapter and Conference Paper
Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System
Skin diseases are generally normal around the globe, as people get skin diseases because of inheritance and natural elements. Dermatologists rely heavily on visual examinations to diagnose skin diseases. Howev...
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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
A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome
Cosmopolitan lifestyle and livelihood modifications have marked a toll on human health to the extent of myocardial disease onset at a relatively tender stage. One of the major issues that have been observed on...
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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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Article
Classification of diabetic retinopathy using stacked machine learning approach on low resource dataset
This study focuses on classification of Diabetic Retinopathy (DR) using Machine Learning (ML) algorithms on low resource dataset. We conduct the computation on a publicly available dataset comprising of just 1...
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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...
