[HTML][HTML] A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and …
Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
[HTML][HTML] A light gradient-boosting machine algorithm with tree-structured parzen estimator for breast cancer diagnosis
Breast cancer is a common and potentially life-threatening disease. Early and accurate
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …
[HTML][HTML] Breast cancer diagnosis using the fast learning network algorithm
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
XML‐LightGBMDroid: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis
KM Mohi Uddin, N Biswas, ST Rikta… - Engineering …, 2023 - Wiley Online Library
Nowadays, breast cancer detection and diagnosis are done using machine learning
algorithms. It can enhance cancer understanding and help in treatment selection and …
algorithms. It can enhance cancer understanding and help in treatment selection and …
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Breast cancer is still a major problem for medical research, science, and society. Breast
cancer is the most common form of cancer among women and has a high rate of mortality …
cancer is the most common form of cancer among women and has a high rate of mortality …
[HTML][HTML] A hybrid model for post-treatment mortality rate classification of patients with breast cancer
Terminal cancer is not curable and eventually results in death. Breast cancer (BC) is a
prevalent malignancy affecting women. Although there are prognostic indicators, BC …
prevalent malignancy affecting women. Although there are prognostic indicators, BC …
[HTML][HTML] Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI
Breast cancer has rapidly increased in prevalence in recent years, making it one of the
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
Exploring heterogeneous data distribution issues in e-health federated systems
G Paragliola, P Ribino - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract Background and Objective: Healthcare institutions produce and retain a
considerable amount of health-associated information about patients, thus providing great …
considerable amount of health-associated information about patients, thus providing great …
Online sequential extreme learning machine approach for breast cancer diagnosis
The utilisation of DM (Data Mining) and ML (Machine Learning) approaches in the BC
(Breast Cancer) diagnosis has recently gained a lot of consideration. However, most of …
(Breast Cancer) diagnosis has recently gained a lot of consideration. However, most of …
Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer
Breast cancer is a serious disease, and therefore early detection is crucial for successful
treatment and patient management. Unfortunately, globally, the number of breast cancer …
treatment and patient management. Unfortunately, globally, the number of breast cancer …