Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi
Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in understanding health outcomes. In this paper, we showcase the use of machine-learned staged tree models for investigating complex asymmetric depe...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Computational and Structural Biotechnology Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023004282 |
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| author | Maria Teresa Filigheddu Manuele Leonelli Gherardo Varando Miguel Ángel Gómez-Bermejo Sofía Ventura-Díaz Luis Gorospe Jesús Fortún |
| author_facet | Maria Teresa Filigheddu Manuele Leonelli Gherardo Varando Miguel Ángel Gómez-Bermejo Sofía Ventura-Díaz Luis Gorospe Jesús Fortún |
| author_sort | Maria Teresa Filigheddu |
| collection | DOAJ |
| description | Machine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in understanding health outcomes. In this paper, we showcase the use of machine-learned staged tree models for investigating complex asymmetric dependence structures in health data. Staged trees are a specific class of generative, probabilistic graphical models that formally model asymmetric conditional independence and non-regular sample spaces. An investigation of the risk factors in invasive fungal infections demonstrates the insights staged trees provide to support medical decision-making. |
| format | Article |
| id | doaj-art-b00f13cc5e824572b4ec2e67f766f6d0 |
| institution | OA Journals |
| issn | 2001-0370 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj-art-b00f13cc5e824572b4ec2e67f766f6d02025-08-20T02:37:24ZengElsevierComputational and Structural Biotechnology Journal2001-03702024-12-0124122210.1016/j.csbj.2023.11.013Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungiMaria Teresa Filigheddu0Manuele Leonelli1Gherardo Varando2Miguel Ángel Gómez-Bermejo3Sofía Ventura-Díaz4Luis Gorospe5Jesús Fortún6Infectious Diseases Department, Hospital Ramón y Cajal, IRYCIS (Instituto Ramón y Cajal de Investigación Sanitaria); Universidad de Alcalá, Madrid, SpainSchool of Science and Technology, IE University, Madrid, Spain; Corresponding author.Image Processing Laboratory (IPL), Universitat de València, Valencia, SpainRadiology Department, Hospital Universitario Ramón y Cajal, Madrid, SpainRadiology Department, Hospital Universitario Ramón y Cajal, Madrid, SpainRadiology Department, Hospital Universitario Ramón y Cajal, Madrid, SpainInfectious Diseases Department, Hospital Ramón y Cajal, IRYCIS (Instituto Ramón y Cajal de Investigación Sanitaria); Universidad de Alcalá, Madrid, Spain; Microbiology Department, Hospital Universitario Ramón y Cajal, Madrid, SpainMachine learning models are increasingly used in the medical domain to study the association between risk factors and diseases to support practitioners in understanding health outcomes. In this paper, we showcase the use of machine-learned staged tree models for investigating complex asymmetric dependence structures in health data. Staged trees are a specific class of generative, probabilistic graphical models that formally model asymmetric conditional independence and non-regular sample spaces. An investigation of the risk factors in invasive fungal infections demonstrates the insights staged trees provide to support medical decision-making.http://www.sciencedirect.com/science/article/pii/S2001037023004282Diagnostic criteriaInvasive aspergillosisMachine learningProbabilistic graphical modelsStaged trees |
| spellingShingle | Maria Teresa Filigheddu Manuele Leonelli Gherardo Varando Miguel Ángel Gómez-Bermejo Sofía Ventura-Díaz Luis Gorospe Jesús Fortún Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi Computational and Structural Biotechnology Journal Diagnostic criteria Invasive aspergillosis Machine learning Probabilistic graphical models Staged trees |
| title | Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi |
| title_full | Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi |
| title_fullStr | Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi |
| title_full_unstemmed | Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi |
| title_short | Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi |
| title_sort | using staged tree models for health data investigating invasive fungal infections by aspergillus and other filamentous fungi |
| topic | Diagnostic criteria Invasive aspergillosis Machine learning Probabilistic graphical models Staged trees |
| url | http://www.sciencedirect.com/science/article/pii/S2001037023004282 |
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