Deep learning for health informatics
With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …
has grown rapidly in the last decade. This has also prompted increasing interests in the …
A comprehensive survey on deep-learning-based breast cancer diagnosis
Simple Summary Breast cancer was diagnosed in 2.3 million women, and around 685,000
deaths from breast cancer were recorded globally in 2020, making it the most common …
deaths from breast cancer were recorded globally in 2020, making it the most common …
[PDF][PDF] Adaptive dynamic dipper throated optimization for feature selection in medical data
The rapid population growth results in a crucial problem in the early detection of diseases in
medical research. Among all the cancers unveiled, breast cancer is considered the second …
medical research. Among all the cancers unveiled, breast cancer is considered the second …
A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data
Breast cancer is a highly aggressive type of cancer with very low median survival. Accurate
prognosis prediction of breast cancer can spare a significant number of patients from …
prognosis prediction of breast cancer can spare a significant number of patients from …
[HTML][HTML] Bayesian networks in healthcare: Distribution by medical condition
Bayesian networks (BNs) have received increasing research attention that is not matched by
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …
Multi-modal advanced deep learning architectures for breast cancer survival prediction
Breast cancer is the most frequently occurring cancer and has compelling contributions to
increasing mortality rates among women. The manual prognosis and diagnosis of this …
increasing mortality rates among women. The manual prognosis and diagnosis of this …
Deep learning in omics: a survey and guideline
Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big
data. A huge amount of high dimensional and complex structured data has made it no …
data. A huge amount of high dimensional and complex structured data has made it no …
A comprehensive sco** review of Bayesian networks in healthcare: Past, present and future
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in
the past, making it difficult to organize the research contributions in the present and identify …
the past, making it difficult to organize the research contributions in the present and identify …
Multi-modal classification for human breast cancer prognosis prediction: proposal of deep-learning based stacked ensemble model
Breast Cancer is a highly aggressive type of cancer generally formed in the cells of the
breast. Despite significant advances in the treatment of primary breast cancer in the last …
breast. Despite significant advances in the treatment of primary breast cancer in the last …
Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome
Background and objective Breast cancer is a leading cause of death from cancer for
females. The high mortality rate of breast cancer is largely due to the complexity among …
females. The high mortality rate of breast cancer is largely due to the complexity among …