Liver Disease Prediction using Ensemble Technique IEEE BASE PAPER ABSTRACT: Liver illness is one of the worst diseases on the planet. It occurs in the human body, most notably in the liver. The liver’s primary function is to eliminate waste …
Prediction of Parkinson’s disease using XGBoost OUR PROPOSED TITLE: Parkinson’s disease Classification using Machine Learning IEEE BASE PAPER ABSTRACT: Parkinson’s Disease (PD) is one of the world’s most serious public health issues. It is a well-known fact that approximately one …
Heart Disease Prediction using Machine Learning and Data Analytics Approach IEEE BASE PAPER ABSTRACT: In recent times, Machine Learning has played a significant role in the healthcare industry and amongst all of the major diseases, heart disease is one of …
A Contemporary Technique for Lung Disease Prediction using Deep Learning IEEE BASE PAPER ABSTRACT: The field of computer science known as machine learning explores algorithms that learn from examples. Classification requires machine learning algorithms that understand how to apply a …
A Deep Prediction of Chronic Kidney Disease by Employing Machine Learning Method IEEE BASE PAPER ABSTRACT: In recent years, people worldwide have been suffering from various types of kidney diseases indescribably, among which chronic kidney disease (CKD) has exacerbated the …
Identification of Fake Indian Currency using Convolutional Neural Network IEEE BASE PAPER ABSTRACT: The progression of shading printing innovation has expanded the rate of Fake currency copying notes on a large scale. Albeit electronic monetary exchanges are turning out to …
Parkinson’s Disease Detection Using Machine Learning IEEE BASE PAPER ABSTRACT: Firstly, Parkinson delineates Parkinson’s sickness as a neurologic syndrome, it affects the central system, as a result, the patients face difficulty talking, strolling, tremor throughout the motion. Parkinson’s sickness patient …
Efficient Thyroid Disease Prediction using Features Selection and Meta-Classifiers IEEE BASE PAPER ABSTRACT: Prediction of Thyroid is a complex axiom in medical research. Machine learning methods are more powerful and compact for the healthcare industry to handle the massive amount …
Prediction Of Used Car Prices Using Artificial Neural Networks And Machine Learning IEEE BASE PAPER ABSTRACT: With the extensive growth in usage of cars, the newly produced cars are unable to reach the customers for various reasons like high prices, …
Detection of Stress in IT Employees using Machine Learning Technique IEEE BASE PAPER ABSTRACT: The objective of this paper is to apply machine learning and visual processing to identify overworked IT employees. Our technology is an improved version of older …