Machine learning with applications in breast cancer diagnosis and prognosis
Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according to …
representing the majority of new cancer cases and cancer-related deaths according to …
Develo** a consensus classification system for acute renal failure
JA Kellum, N Levin, C Bouman… - Current opinion in critical …, 2002 - journals.lww.com
A biochemical definition and classification system for acute renal dysfunction is long
overdue. Its absence has impeded progress in clinical and even basic research concerning …
overdue. Its absence has impeded progress in clinical and even basic research concerning …
Breast cancer classification using deep belief networks
Over the last decade, the ever increasing world-wide demand for early detection of breast
cancer at many screening sites and hospitals has resulted in the need of new research …
cancer at many screening sites and hospitals has resulted in the need of new research …
Breast cancer diagnosis using GA feature selection and Rotation Forest
Breast cancer is one of the primary causes of death among the women worldwide, and the
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …
accurate diagnosis is one of the most significant steps in breast cancer treatment. Data …
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach
The early detection of breast cancer (BC) has a significant impact on reducing the disease's
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …
Support vector machines combined with feature selection for breast cancer diagnosis
MF Akay - Expert systems with applications, 2009 - Elsevier
Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
HL Chen, B Yang, J Liu, DY Liu - Expert systems with applications, 2011 - Elsevier
Breast cancer is becoming a leading cause of death among women in the whole world,
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …
[책][B] Computational intelligence in time series forecasting: theory and engineering applications
AK Palit, D Popovic - 2006 - books.google.com
Foresight can be crucial in process and production control, production-and-resources
planning and in management decision making generally. Although forecasting the future …
planning and in management decision making generally. Although forecasting the future …
Pareto-based multiobjective machine learning: An overview and case studies
Machine learning is inherently a multiobjective task. Traditionally, however, either only one
of the objectives is adopted as the cost function or multiple objectives are aggregated to a …
of the objectives is adopted as the cost function or multiple objectives are aggregated to a …
Breast cancer diagnosis using least square support vector machine
The use of machine learning tools in medical diagnosis is increasing gradually. This is
mainly because the effectiveness of classification and recognition systems has improved in …
mainly because the effectiveness of classification and recognition systems has improved in …