A comparative study of machine learning algorithms for detecting breast cancer
RH Khan, J Miah, MM Rahman… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
Breast cancer poses a major hazard to women, with high morbidity and fatality rates,
because there is a lack of reliable prognostic models, clinicians find it challenging to …
because there is a lack of reliable prognostic models, clinicians find it challenging to …
A comparative study of detecting covid 19 by using chest X-ray images–A deep learning approach
J Miah, RH Khan, S Ahmed… - 2023 IEEE World AI IoT …, 2023 - ieeexplore.ieee.org
SARS-CoV-2's COVID-19 pandemic has quickly spread over the world, inflicting a sizable
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
number of illnesses and fatalities. Stopping the virus's spread depends on correctly and …
Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks
Artistic style transfer, a captivating application of generative artificial intelligence, involves
fusing the content of one image with the artistic style of another to create unique visual …
fusing the content of one image with the artistic style of another to create unique visual …
A Comparative Study of Machine Learning classifiers to analyze the Precision of Myocardial Infarction prediction
RH Khan, J Miah, SAA Nipun… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
In the modern world, heart disease ranks among the main causes of death. Smoking, high
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …
sleepWell: Stress Level Prediction Through Sleep Data. Are You Stressed?
Stress, sadness, and anxiety are now major issues in our regular lifystyle. The primary goal
of this study is to detect stress in individuals using ML (Machine Learning) techniques with …
of this study is to detect stress in individuals using ML (Machine Learning) techniques with …
Enhancing Lung Cancer Diagnosis with Machine Learning Methods and Systematic Review Synthesis
Lung cancer is the leading cause of death in the USA It is caused for various reasons, such
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms
Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on
motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study …
motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study …
Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction
Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its
association with smoking, elevated blood pressure, and cholesterol levels underscores the …
association with smoking, elevated blood pressure, and cholesterol levels underscores the …
Advancements in early detection of lung cancer in public health: a comprehensive study utilizing machine learning algorithms and predictive models
Lung cancer stands as the leading cause of death in the United States, attributed to factors
such as the spontaneous growth of malignant tumors in the lungs that can metastasize to …
such as the spontaneous growth of malignant tumors in the lungs that can metastasize to …
Mhfit: Mobile health data for predicting athletics fitness using machine learning models
Mobile phones and other electronic gadgets/devices have aided in collecting data without
the need for data entry. This paper will specifically focus on Mobile health data (m-health) …
the need for data entry. This paper will specifically focus on Mobile health data (m-health) …