Applications and techniques of machine learning in cancer classification: A systematic review
The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …
development. Recently, showcasing a Broad spectrum of uses like Computational …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
A method for improving prediction of human heart disease using machine learning algorithms
A great diversity comes in the field of medical sciences because of computing capabilities
and improvements in techniques, especially in the identification of human heart diseases …
and improvements in techniques, especially in the identification of human heart diseases …
Optimization of prediction method of chronic kidney disease using machine learning algorithm
Chronic Kidney disease (CKD), a slow and late-diagnosed disease, is one of the most
important problems of mortality rate in the medical sector nowadays. Based on this critical …
important problems of mortality rate in the medical sector nowadays. Based on this critical …
Implementation of deep learning methods to identify rotten fruits
S Chakraborty, FMJM Shamrat… - … conference on trends …, 2021 - ieeexplore.ieee.org
Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …
Face Mask Detection using Convolutional Neural Network (CNN) to reduce the spread of COVID-19
FMJM Shamrat, S Chakraborty… - … conference on trends …, 2021 - ieeexplore.ieee.org
The COVID-19 coronavirus pandemic is wreaking havoc on the world's health. The
healthcare sector is in a state of disaster. Many precautionary steps have been taken to …
healthcare sector is in a state of disaster. Many precautionary steps have been taken to …
Implementation of machine learning algorithms to detect the prognosis rate of kidney disease
The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the
disease is not noticeable and a significant amount of lives are lost annually due to the …
disease is not noticeable and a significant amount of lives are lost annually due to the …
A fully connected quantum convolutional neural network for classifying ischemic cardiopathy
U Ullah, AGO Jurado, ID Gonzalez… - IEEE …, 2022 - ieeexplore.ieee.org
The prevalence of heart diseases is rising quickly throughout the world, which has an impact
on both the world economy and public health. According to the recent statistical survey …
on both the world economy and public health. According to the recent statistical survey …
A collaborative empirical analysis on machine learning based disease prediction in health care system
A Das, D Choudhury, A Sen - International Journal of Information …, 2024 - Springer
Abstract The adaptation of Artificial Intelligence can radically reshape the entire healthcare
industry. This paper proposes a comparative analysis of four Machine Learning algorithms …
industry. This paper proposes a comparative analysis of four Machine Learning algorithms …
A comprehensive study on pre-pruning and post-pruning methods of decision tree classification algorithm
FMJM Shamrat, S Chakraborty… - … conference on trends …, 2021 - ieeexplore.ieee.org
The decision tree is the most effective classification method. However, the results of the
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …
decision tree can show errors due to overfitting or if the data is too noisy. This may cause the …