The significance of machine learning in clinical disease diagnosis: A review
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
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 …
[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases
influencing people on a larger that remains dormant until irreversible damage has been …
influencing people on a larger that remains dormant until irreversible damage has been …
Machine learning techniques for chronic kidney disease risk prediction
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects the …
function over time. It describes a clinical entity that causes kidney damage and affects the …
Machine learning hybrid model for the prediction of chronic kidney disease
H Khalid, A Khan, M Zahid Khan… - Computational …, 2023 - Wiley Online Library
To diagnose an illness in healthcare, doctors typically conduct physical exams and review
the patient's medical history, followed by diagnostic tests and procedures to determine the …
the patient's medical history, followed by diagnostic tests and procedures to determine the …
Deep learning predictive model for colon cancer patient using CNN-based classification
Z Tasnim, S Chakraborty… - International …, 2021 - researchers.cdu.edu.au
In recent years, the area of Medicine and Healthcare has made significant advances with the
assistance of computational technology. During this time, new diagnostic techniques were …
assistance of computational technology. During this time, new diagnostic techniques were …
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 …
A comparative study of different machine learning tools in detecting diabetes
A significant proportion of people around the world are currently suffering from the harmful
effects of diabetes and a considerable number of them not being identified at an early stage …
effects of diabetes and a considerable number of them not being identified at an early stage …
[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features
Z Ullah, M Jamjoom - Journal of healthcare engineering, 2023 - Wiley Online Library
In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …