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An enhanced Predictive heterogeneous ensemble model for breast cancer prediction
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
women and men. This disease is mostly asymptomatic in the early stages thus detection is …
[PDF][PDF] A comparative performance of breast cancer classification using hyper-parameterized machine learning models
Breast cancer is the second most common cancer and has the second-highest mortality rate
in women among all cancer types. Accurate cancer diagnosis plays a great part in breast …
in women among all cancer types. Accurate cancer diagnosis plays a great part in breast …
Explainable machine learning for breast cancer diagnosis
Cancer is already the leading cause of death in most Brazilian cities and in the world. The
understanding of its internal mechanisms and the design of computational models capable …
understanding of its internal mechanisms and the design of computational models capable …
Maximum likelihood-based estimation of finite multivariate libby-novick beta mixture models in medical applications
The present study offers a Libby-Novick Beta mixture model, which is based on a
generalisation of Beta distribution. As a result of having an additional shape parameter …
generalisation of Beta distribution. As a result of having an additional shape parameter …
Machine-Learning Health Monitoring System for Resource-Scarce Embedded Systems
Machine-Learning model implementation in Resource-Scarce Embedded Systems is
becoming a standard in many systems and projects. This implementation allows systems to …
becoming a standard in many systems and projects. This implementation allows systems to …
[PDF][PDF] An improved prediction of breast cancer using deep neural networks (DNN)
Cancer is a most dangerous disease that can be affected by any person. There is no specific
reason to occur cancer for any human. In recent days one of the tools which are used to …
reason to occur cancer for any human. In recent days one of the tools which are used to …
Mixture-Based Clustering and Hidden Markov Models for Energy Management and Human Activity Recognition: Novel Approaches and Explainable Applications
HGA Al-Bazzaz - 2023 - spectrum.library.concordia.ca
In recent times, the rapid growth of data in various fields of life has created an immense
need for powerful tools to extract useful information from data. This has motivated …
need for powerful tools to extract useful information from data. This has motivated …
Performance Analysis of Machine Learning, Deep Learning and Ensemble Techniques for Breast Cancer Diagnosis
Cancer is always a life-threatening disease. The lives of people can be saved only through
proper treatment of cancer. Within the human body, there are different kinds of cancer that …
proper treatment of cancer. Within the human body, there are different kinds of cancer that …
Improved Cancer Classification with Supervised Variational Autoencoder on DNA Methylation Data
DNA methylation is suitable for early detection and is also significant to a wide variety of
cancer detection and treatment fields. Accurate prediction of survival in cancer patients …
cancer detection and treatment fields. Accurate prediction of survival in cancer patients …
Breast Cancer Analysis and Prognosis Using Machine Learning
S Shetty - 2020 - norma.ncirl.ie
With increasing number of cases and deaths every year, breast cancer is one of the most
common health problem in today's society and prime cause of death in females. This …
common health problem in today's society and prime cause of death in females. This …