Application and decision-making implications of novel optimization models in public health
| dc.contributor.author | Lytras, Miltiadis | |
| dc.contributor.author | Plácido R Pinheiro | |
| dc.contributor.author | Visvizi, Anna | |
| dc.contributor.author | Mirian Caliope D Pinheiro | |
| dc.date.accessioned | 2023-03-15T08:14:21Z | |
| dc.date.available | 2023-03-15T08:14:21Z | |
| dc.date.issued | 2022-04-12 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14131/674 | |
| dc.description | Optimizing the results of public health management is a goal of many managers. Contracting inputs and service providers oriented towards health outcomes, such as models anchored in the population’s health, building the capacity to contract, allow countries to make a difference in a pandemic. For example, systems have been increasingly used in various novel optimization models in public health such as disease prevention, detection, diagnosis, innovative education environments, security, and authentication. These systems are suggested in the literature with alternative tools to aid specialists in their decisionmaking by analyzing and interpreting data. The main objective of this special issue was to promote a broad discussion on the recent advances in optimization models with novel methods and applications, seeking to identify potential contributions to public health. This special issue of the Computational and Mathematical Methods in Medicine journal contains 13 original works. Therefore, the selected studies address new trends in methods and applied techniques to different public health. The first article by Xiaobo Lai et al. proposed a digital breast tomosynthesis (DBT) image automatic segmentation algorithm using a U-Net architecture to improve automatic breast mass segmentation accuracy in DBT imaging. The proposed automatic segmentation obtained promising results, which are superior to some classical architectures, and it is expected that they have perspectives of clinical application. | en_US |
| dc.publisher | Hindawi | en_US |
| dc.subject | Public Health | en_US |
| dc.title | Application and decision-making implications of novel optimization models in public health | en_US |
| dc.source.journal | Computational and Mathematical Methods in Medicine | en_US |
| dc.source.volume | 2022 | en_US |
| dc.contributor.researcher | University Collaboration | en_US |
| dc.contributor.researcher | External Collaboration | en_US |
| dc.source.index | Scopus | en_US |
| dc.source.index | WoS | en_US |
| dc.contributor.department | Computer Science | en_US |
| dc.contributor.firstauthor | Plácido R Pinheiro |
