[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …
A Review of Machine Learning Algorithms for Biomedical Applications
As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …
methods are becoming a popular tool in creating prediction models for the underlying …
Machine learning based intelligent system for breast cancer prediction (MLISBCP)
Risks of death from Breast Cancer (BC) are drastically rising in recent years. The diagnosis
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …
An empirical study on machine learning algorithms for heart disease prediction
TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …
disease dataset classification. However, literature shows that the quality of heart disease …
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Recent research indicates that early detection of breast cancer (BC) is critical in achieving
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
[PDF][PDF] A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model
Heart disease is one of the most widely spreading and deadliest diseases across the world.
In this study, we have proposed hybrid model for heart disease prediction by employing …
In this study, we have proposed hybrid model for heart disease prediction by employing …
SELF: a stacked-based ensemble learning framework for breast cancer classification
Nowadays, breast cancer is the most prevalent and jeopardous disease in women after lung
cancer. During the past few decades, a substantial amount of cancer cases have been …
cancer. During the past few decades, a substantial amount of cancer cases have been …
[HTML][HTML] Enhancing the breast histopathology image analysis for cancer detection using variational autoencoder
HV Guleria, AM Luqmani, HD Kothari… - International Journal of …, 2023 - mdpi.com
A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either
cancerous or benign. The first implementations involved the use of machine learning …
cancerous or benign. The first implementations involved the use of machine learning …
An optimization clustering and classification based on artificial intelligence approach for internet of things in agriculture
S Tangwannawit… - IAES International Journal …, 2022 - search.proquest.com
This research focused on testing with maize, economical crop grown in Phetchabun
province, Thailand, by installing a total of 20 sets of internet of things (IoT) devices which …
province, Thailand, by installing a total of 20 sets of internet of things (IoT) devices which …