Research graph
References from Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi. Local targets link to admitted publications; unresolved targets remain external evidence.
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Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: a singled centered retrospective study
2022 · External reference
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2011 · External reference
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2020 · External reference
Unresolved reference
2022 · External reference
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Mortality, length of hospitalization, and costs associated with invasive fungal infections in high-risk patients
10.2146/ajhp080325 · 2009 · External reference
Unresolved reference
2022 · External reference
Context-specific independencies in stratified chain regression graphical models
10.3150/20-bej1302 · 2021 · External reference
Early diagnosis of invasive pulmonary aspergillosis in hematologic patients: an opportunity to improve the outcome
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Probable invasive Aspergillosis without prespecified radiologic findings: proposal for inclusion of a new category of Aspergillosis and implications for studying novel therapies
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Recent advancement in cancer diagnosis using machine learning and deep learning techniques: a comprehensive review
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Clinical and radiological features of invasive pulmonary aspergillosis in transplant recipients and neutropenic patients
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2017 · External reference
10.1101/cshperspect.a041271
10.1101/cshperspect.a041271 · External reference
Combat-related invasive fungal infections: development of a clinically applicable clinical decision support system for early risk stratification
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External reference
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Using Bayesian networks with Tabu-search algorithm to explore risk factors for hyperhomocysteinemia
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The feasibility of a Bayesian network model to assess the probability of simultaneous symptoms in patients with advanced cancer
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10.1016/j.ijar.2019.09.002 · 2019 · External reference
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A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data
10.1186/s12958-023-01065-x · 2023 · External reference
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2019 · External reference
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External reference
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External reference
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Machine learning-based combined nomogram for predicting the risk of pulmonary invasive fungal infection in severely immunocompromised patients
2022 · External reference
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Using machine learning algorithms to predict candidaemia in ICU patients with new-onset systemic inflammatory response syndrome
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