[HTML][HTML] Diagnostic accuracy of different machine learning algorithms for breast cancer risk calculation: a meta-analysis
Objective The aim of this study was to determine the diagnostic accuracy of different
machine learning algorithms for breast cancer risk calculation. Methods A meta-analysis …
machine learning algorithms for breast cancer risk calculation. Methods A meta-analysis …
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
M Heidari, S Mirniaharikandehei, AZ Khuzani… - International journal of …, 2020 - Elsevier
Objective This study aims to develop and test a new computer-aided diagnosis (CAD)
scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia …
scheme of chest X-ray images to detect coronavirus (COVID-19) infected pneumonia …
Towards the interpretability of machine learning predictions for medical applications targeting personalised therapies: A cancer case survey
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …
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 …
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19
patients with pneumonia. However, the similarity between features of CXR images of COVID …
patients with pneumonia. However, the similarity between features of CXR images of COVID …
Improving renewable energy policy planning and decision-making through a hybrid MCDM method
Shifting from fossil to clean energy sources is a major global challenge, but in particular for
those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel …
those countries with substantial fossil-fuel reserves and economies depending on fossil-fuel …
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
Motivation The prediction of protein–protein interaction (PPI) sites is a key to mutation
design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task …
design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task …
Pay attention to the cough: Early diagnosis of COVID-19 using interpretable symptoms embeddings with cough sound signal processing
A Pal, M Sankarasubbu - Proceedings of the 36th Annual ACM …, 2021 - dl.acm.org
COVID-19 (coronavirus disease 2019) pandemic caused by SARS-CoV-2 has led to a
treacherous and devastating catastrophe for humanity. No specific antivirus drugs or …
treacherous and devastating catastrophe for humanity. No specific antivirus drugs or …
Survey of machine learning algorithms for breast cancer detection using mammogram images
G Meenalochini, S Ramkumar - Materials Today: Proceedings, 2021 - Elsevier
Breast cancer is the primary cause of death in most cancer affected women. Mammography
is one of the most dependable strategies for early detection and diagnosis of breast cancer …
is one of the most dependable strategies for early detection and diagnosis of breast cancer …
A performance based study on deep learning algorithms in the effective prediction of breast cancer
Breast Cancer is one of the leading causes of death worldwide. Early detection is very
important in increasing survival rates. Intensive research is therefore done to improve early …
important in increasing survival rates. Intensive research is therefore done to improve early …