Machine-learning-based disease diagnosis: A comprehensive review
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
COVID-19 future forecasting using supervised machine learning models
Machine learning (ML) based forecasting mechanisms have proved their significance to
anticipate in perioperative outcomes to improve the decision making on the future course of …
anticipate in perioperative outcomes to improve the decision making on the future course of …
Noisy channel language model prompting for few-shot text classification
We introduce a noisy channel approach for language model prompting in few-shot text
classification. Instead of computing the likelihood of the label given the input (referred as …
classification. Instead of computing the likelihood of the label given the input (referred as …
Machine learning algorithms for breast cancer prediction and diagnosis
MA Naji, S El Filali, K Aarika, ELH Benlahmar… - Procedia Computer …, 2021 - Elsevier
Each year number of deaths is increasing extremely because of breast cancer. It is the most
frequent type of all cancers and the major cause of death in women worldwide. Any …
frequent type of all cancers and the major cause of death in women worldwide. Any …
Breast cancer type classification using machine learning
J Wu, C Hicks - Journal of personalized medicine, 2021 - mdpi.com
Background: Breast cancer is a heterogeneous disease defined by molecular types and
subtypes. Advances in genomic research have enabled use of precision medicine in clinical …
subtypes. Advances in genomic research have enabled use of precision medicine in clinical …
Breast cancer classification using machine learning
M Amrane, S Oukid, I Gagaoua… - 2018 electric electronics …, 2018 - ieeexplore.ieee.org
During their life, among 8% of women are diagnosed with Breast cancer (BC), after lung
cancer, BC is the second popular cause of death in both developed and undeveloped …
cancer, BC is the second popular cause of death in both developed and undeveloped …
[HTML][HTML] Convolution neural network for breast cancer detection and classification using deep learning
Objective: Early detection and precise diagnosis of breast cancer (BC) plays an essential
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
part in enhancing the diagnosis and improving the breast cancer survival rate of patients …
Deep learning system for COVID-19 diagnosis aid using X-ray pulmonary images
Featured Application This work has direct applications to COVID-19 diagnosis. Abstract The
spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic …
spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic …
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 …