Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features
Breast cancer is one of the most prevalent types of cancers in females, which has become
rampant all over the world in recent years. The survival rate of breast cancer patients …
rampant all over the world in recent years. The survival rate of breast cancer patients …
Determining relevant biomarkers for prediction of breast cancer using anthropometric and clinical features: A comparative investigation in machine learning paradigm
BK Singh - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Early detection of breast cancer plays crucial role in planning and result of associated
treatment. The purpose of this article is threefold:(i) to investigate whether or not clinical …
treatment. The purpose of this article is threefold:(i) to investigate whether or not clinical …
Breast cancer–detection system using PCA, multilayer perceptron, transfer learning, and support vector machine
This study proposed a new processing method to predict breast cancer on the basis of nine
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
Detecting and treating breast cancer at earlier stages is highly proved to improve the
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
Detection of breast cancer through clinical data using supervised and unsupervised feature selection techniques
Breast cancer is one the most critical disease and suffered many people around the world.
The efficient and correct detection of breast cancer is still needed to ensure this medical …
The efficient and correct detection of breast cancer is still needed to ensure this medical …
Determination of the blood, hormone and obesity value ranges that indicate the breast cancer, using data mining based expert system
SB Akben - Irbm, 2019 - Elsevier
Breast cancer is a dangerous type of cancer that spreads into other organs over time.
Therefore, medical studies are being done for the early diagnosis by means of the …
Therefore, medical studies are being done for the early diagnosis by means of the …
Comparison of classification models for early prediction of breast cancer
MU Ghani, TM Alam, FH Jaskani - … International Conference on …, 2019 - ieeexplore.ieee.org
Breast cancer is the second most leading cause of women's death in America. To create an
accurate prediction model and analyze the remarkable risk factors, a data mining …
accurate prediction model and analyze the remarkable risk factors, a data mining …
Automatic breast cancer diagnosis based on hybrid dimensionality reduction technique and ensemble classification
X Li, X Chen, A Rezaeipanah - Journal of Cancer Research and Clinical …, 2023 - Springer
Introduction Feature selection in the face of high-dimensional data can reduce overfitting
and learning time, and at the same time improve the accuracy and efficiency of the system …
and learning time, and at the same time improve the accuracy and efficiency of the system …
Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system
One of the essential data pre-processing methods for enhancing the performance of
machine learning (ML) models is feature selection. Because they choose the most optimal …
machine learning (ML) models is feature selection. Because they choose the most optimal …
Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer
Objective The most widespread and intrusive cancer type among women is breast cancer.
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …