[HTML][HTML] A comprehensive and systematic review of multi-criteria decision-making methods and applications in healthcare
S Chakraborty, RD Raut, TM Rofin, S Chakraborty - Healthcare Analytics, 2023 - Elsevier
Healthcare decision-making has often been viewed as a complex multi-dimensional
problem due to medical, technological, social, ethical, economic, and environmental factors …
problem due to medical, technological, social, ethical, economic, and environmental factors …
Rise of deep learning clinical applications and challenges in omics data: a systematic review
This research aims to review and evaluate the most relevant scientific studies about deep
learning (DL) models in the omics field. It also aims to realize the potential of DL techniques …
learning (DL) models in the omics field. It also aims to realize the potential of DL techniques …
[HTML][HTML] Bayesian machine learning analysis with Markov Chain Monte Carlo techniques for assessing characteristics and risk factors of Covid-19 in Erbil City-Iraq …
The study aims to showcase machine learning techniques in the application of medical
datasets for improving identification of correlations and relationships between variables …
datasets for improving identification of correlations and relationships between variables …
Evaluating three machine learning classification methods for effective COVID-19 diagnosis
SARS-CoV2, which produces COVID-19, has spread worldwide. Since the number of
patients is rising daily, it requires time to evaluate laboratory data, limiting treatment and …
patients is rising daily, it requires time to evaluate laboratory data, limiting treatment and …
Event-specific transmission forecasting of SARS-CoV-2 in a mixed-mode ventilated office room using an ANN
The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to
study the transmission probability in mixed-mode ventilated office environments. Artificial …
study the transmission probability in mixed-mode ventilated office environments. Artificial …
[HTML][HTML] A manifold intelligent decision system for fusion and benchmarking of deep waste-sorting models
Increases in population and prosperity are linked to a worldwide rise in garbage. The
“classification” and “recycling” of solid waste is a crucial tactic for dealing with the waste …
“classification” and “recycling” of solid waste is a crucial tactic for dealing with the waste …
An integrated decision-making framework for mitigating the impact of urban heat islands on energy consumption and thermal comfort of residential buildings
Urban heat island (UHI) is a zone that is significantly warmer than its surrounding rural
zones as a result of human activities and rapid and dense urbanization. Excessive air …
zones as a result of human activities and rapid and dense urbanization. Excessive air …
Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples
Identifying COVID-19 through blood sample analysis is crucial in managing the disease and
improving patient outcomes. Despite its advantages, the current test demands certified …
improving patient outcomes. Despite its advantages, the current test demands certified …
Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection
B Leng, H Jiang, B Wang, J Wang, G Luo - Computers in Biology and …, 2024 - Elsevier
Problem Organoids are 3D cultures that are commonly used for biological and medical
research in vitro due to their functional and structural similarity to source organs. The …
research in vitro due to their functional and structural similarity to source organs. The …
Hybrid Diagnostic Model for Improved COVID-19 Detection in Lung Radiographs Using Deep and Traditional Features
A recently discovered coronavirus (COVID-19) poses a major danger to human life and
health across the planet. The most important step in managing and combating COVID-19 is …
health across the planet. The most important step in managing and combating COVID-19 is …