Enhancing the early detection of chronic kidney disease: a robust machine learning model

MS Arif, A Mukheimer, D Asif - Big Data and Cognitive Computing, 2023 - mdpi.com
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …

Heart disease detection using ml

RC Das, MC Das, MA Hossain… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Hearth disease is one of the leading causes of death globally and a common disease in the
middle and old ages. Among all heart diseases, heart attack and strokes are the most …

Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction

FT Liza, MC Das, PP Pandit, A Farjana… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
The current high population growth in medical research has made early disease
identification an urgent issue. The danger of dying from breast cancer is increasing …

SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) …

A Farjana, FT Liza, M Al Mamun… - 2023 International …, 2023 - ieeexplore.ieee.org
The COVID-19 outbreak has presented significant challenges to medical professionals
worldwide and underscored the need for accurate and effective detection methods due to its …

A comparative study of machine learning approaches for heart stroke prediction

MC Das, FT Liza, PP Pandit… - 2023 International …, 2023 - ieeexplore.ieee.org
The majority of strokes are triggered by the heart and brain blocking expected pathways.
Today, it is the most common cause of death in the worldwide. By looking at the people …

[PDF][PDF] Comparison of the Error Rates of MNIST Datasets Using Different Type of Machine Learning Model

MS Rana, MH Kabir, A Sobur - North American Academic …, 2023 - researchgate.net
The MNIST dataset is a popular benchmark dataset in the field of machine learning and
computer vision. The dataset has a training set of 60,000 examples, and a test set of 10,000 …

A harmful disorder: Predictive and comparative analysis for fetal Anemia disease by using different machine learning approaches

M Hasan, MS Tahosin, A Farjana… - … on Digital Forensics …, 2023 - ieeexplore.ieee.org
Anemia is a major issue for public health with significant implications for national
development, it remains a largely neglected health problem in many developing countries …

[PDF][PDF] Walmart Data Analysis Using Machine Learning

MH Kabir, A Sobur, MR Amin - International Journal of Computer …, 2023 - researchgate.net
This data analysis project delves into the vast dataset of one of the world's largest retail
giants, Walmart, to uncover valuable insights and trends within its operations. By harnessing …

[PDF][PDF] Stock Price Prediction Using The Machine Learning

MH Kabir, A Sobur, MR Amin - International Journal of Computer …, 2023 - academia.edu
The stock market is a complex and dynamic environment where investors and traders strive
to make informed decisions to maximize profits or minimize losses. Predicting stock prices …

The application and comparison of Deep Learning models for the prediction of chest cancer prognosis

M Hasan, M Al Mamun, MC Das… - 2023 International …, 2023 - ieeexplore.ieee.org
Lung cancers of all varieties, esophageal cancers, and cancers of the mediastinum (the area
between the lungs), pleura (the membrane lining the chest cavity and surrounding the …