# Using Machine Learning Algorithms to Predict Candidaemia in ICU Patients With New-Onset Systemic Inflammatory Response Syndrome

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-machine-learning-algorithms-to-predict-candidaemia-in-icu-patients-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Siyi Yuan,Yunbo Sun,Xiong-jian Xiao,Yun Long,Huaiwu He |
| Citations | 31 |
| DOI | 10.3389/fmed.2021.720926 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fmed.2021.720926/pdf |
| OpenAlex ID | https://openalex.org/W3195289171 |
| PMID | 34490306 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Xiong-jian Xiao](https://scholariq.org/researchers/xiong-jian-xiao/)

## Paper journal

- [Frontiers in Medicine](https://scholariq.org/journals/frontiers-in-medicine/)

## Paper primary topic

- [Bacterial Identification and Susceptibility Testing](https://scholariq.org/topics/bacterial-identification-and-susceptibility-testing/)

## Paper topics

- [Bacterial Identification and Susceptibility Testing](https://scholariq.org/topics/bacterial-identification-and-susceptibility-testing/)
- [Antifungal resistance and susceptibility](https://scholariq.org/topics/antifungal-resistance-and-susceptibility/)
- [Complementary and Alternative Medicine Studies](https://scholariq.org/topics/complementary-and-alternative-medicine-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.