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 …

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 …

Risk Prediction Modeling for Breast Cancer using Supervised Machine Learning Approaches

T Rajendran, SA Rajathi… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Millions of people worldwide are affected by breast cancer, a complicated and possibly fatal
disease. For patients to have better outcomes and have higher survival rates, early detection …

Inkjet printing of graphene-reinforced zirconia composite: microstructures and properties

PP Pandit - 2023 - search.proquest.com
Owing to their superior properties like excellent mechanical strength, thermal and oxidation
resistance, chemical stability, biocompatibility, chemical resistance, etc. zirconia-based …

Predictive Analytics for Breast Cancer Survival Rates Using Random Forest

R Kumar, D Bordoloi, J Michaelson… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The Random Forest algorithm was used in this study to build a prediction model for breast
cancer survival rates. The study used a deductive methodology, a descriptive design …

Enhancing Diabetes Prediction and Management through Machine Learning: A Comparative Study

K Sudha, C Lakshmipriya, PJB Pajila… - … on Advances in …, 2024 - ieeexplore.ieee.org
Diabetes, defined as high blood sugar levels, which represents an important risk to a
person's health and which may have many negative consequences if left uncontrolled …

Breast Cancer Prediction by Ensembling Machine Learning Algorithms and Explainable AI

M Sobhana, AK Palaketi… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
A primary cause of death is cancer, which is a result of abnormal cell growth. Globally,
breast cancer is a significant contributor to female fatalities, and its prevention is challenging …

Secondary Testosterone Deficiency Identification Using Hybrid Machine Learning Classifiers

P John William, E Ilavarasan - International Conference on Multi-Strategy …, 2024 - Springer
Secondary testosterone deficiency (STD) occurs when the hypothalamus or pituitary gland
malfunctions, preventing the testes from producing enough testosterone. STDs should be …

[PDF][PDF] Breast Cancer Prediction Using Machine Learning Algorithms

ZA Shahzad - 2024 - dspace.library.uvic.ca
Breast cancer has become a pressing global health issue with its prevalence increasing
worldwide. The rise in breast cancer cases is a cause for concern as it not only affects the …