Radiomics in prostate cancer: An up-to-date review
M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
population. The diagnosis, the identification of aggressive disease, and the post-treatment …
A survey of machine learning approaches applied to gene expression analysis for cancer prediction
Machine learning approaches are powerful techniques commonly employed for developing
cancer prediction models using associated gene expression and mutation data. This …
cancer prediction models using associated gene expression and mutation data. This …
Machine learning methods for cyber security intrusion detection: Datasets and comparative study
The increase in internet usage brings security problems with it. Malicious software can affect
the operation of the systems and disrupt data confidentiality due to the security gaps in the …
the operation of the systems and disrupt data confidentiality due to the security gaps in the …
[HTML][HTML] Breast and colon cancer classification from gene expression profiles using data mining techniques
MLR AbdElNabi, M Wajeeh Jasim, HM El-Bakry… - Symmetry, 2020 - mdpi.com
Early detection of cancer increases the probability of recovery. This paper presents an
intelligent decision support system (IDSS) for the early diagnosis of cancer based on gene …
intelligent decision support system (IDSS) for the early diagnosis of cancer based on gene …
An integrated ensemble learning technique for gene expression classification and biomarker identification from RNA-seq data for pancreatic cancer prognosis
G JagadeeswaraRao, A Sivaprasad - International Journal of Information …, 2024 - Springer
Abstract Machine learning (ML) models are used in the interdisciplinary field of bio-ML to
solve biological challenges. The diagnosis and treatment of cancer can benefit from the …
solve biological challenges. The diagnosis and treatment of cancer can benefit from the …
Deep learning-based identification of cancer or normal tissue using gene expression data
Background: Deep learning has proven to show outstanding performance in resolving
recognition and classification problems. As increasing amounts of cancer and normal gene …
recognition and classification problems. As increasing amounts of cancer and normal gene …
An application of storage-optimal matdot codes for coded matrix multiplication: Fast k-nearest neighbors estimation
We propose a novel application of coded computing to the problem of the nearest neighbor
estimation using MatDot Codes (Fahim et al., Allerton'17) that are known to be optimal for …
estimation using MatDot Codes (Fahim et al., Allerton'17) that are known to be optimal for …
A comparative study of feature selection techniques for classify student performance
W Punlumjeak, N Rachburee - 2015 7th International …, 2015 - ieeexplore.ieee.org
Student performance classification is a challenging task for teacher and stakeholder for
better academic planning and management. Data mining can be used to find knowledge …
better academic planning and management. Data mining can be used to find knowledge …
Leukemia sub-type classification by using machine learning techniques on gene expression
Early diagnosis and correct treatment are very important in leukemia. The diagnosis of
cancer according to the sub-type can be made through gene expression. Leukemia is …
cancer according to the sub-type can be made through gene expression. Leukemia is …
Deep learning for multi-tissue cancer classification of gene expressions (GeneXNet)
T Khorshed, MN Moustafa, A Rafea - IEEE Access, 2020 - ieeexplore.ieee.org
Cancer classification using gene expressions is extremely challenging given the complexity
and high dimensionality of the data. Current classification methods typically rely on samples …
and high dimensionality of the data. Current classification methods typically rely on samples …