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Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …
disease for human beings, where advance stage diagnosis may not help much in …
Prediction of breast cancer, comparative review of machine learning techniques, and their analysis
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …
of cancer found in women around the world and it is among the leading causes of deaths in …
Prediction of breast cancer using machine learning approaches
Background: Breast cancer is considered one of the most common cancers in women
caused by various clinical, lifestyle, social, and economic factors. Machine learning has the …
caused by various clinical, lifestyle, social, and economic factors. Machine learning has the …
Breast cancer detection and prevention using machine learning
Breast cancer is a common cause of female mortality in develo** countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
The significance of machine learning in clinical disease diagnosis: A review
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
Performance analysis of xgboost ensemble methods for survivability with the classification of breast cancer
TR Mahesh, V Vinoth Kumar… - Journal of …, 2022 - Wiley Online Library
Breast cancer (BC) disease is the most common and rapidly spreading disease across the
globe. This disease can be prevented if identified early, and this eventually reduces the …
globe. This disease can be prevented if identified early, and this eventually reduces the …
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 …
[HTML][HTML] Breast cancer screening based on supervised learning and multi-criteria decision-making
On average, breast cancer kills one woman per minute. However, there are more reasons
for optimism than ever before. When diagnosed early, patients with breast cancer have a …
for optimism than ever before. When diagnosed early, patients with breast cancer have a …
[PDF][PDF] Breast cancer prediction model with decision tree and adaptive boosting
TA Assegie, RL Tulasi, NK Kumar - IAES International Journal of …, 2021 - naac.spiher.ac.in
In this study, breast cancer prediction model is proposed with decision tree and adaptive
boosting (Adboost). Furthermore, an extensive experimental evaluation of the predictive …
boosting (Adboost). Furthermore, an extensive experimental evaluation of the predictive …
Breast cancer data classification using ensemble machine learning
MA Jabbar - Engineering and Applied Science Research, 2021 - ph01.tci-thaijo.org
Breast cancer (BC) is the largest cause of death in women. Accurate classification of breast
cancer data is important in cancer diagnosis and classification of Malignant and Benign …
cancer data is important in cancer diagnosis and classification of Malignant and Benign …