# Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-for-clinical-decision-support-in-infectious-diseases-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nathan Peiffer‐Smadja,Timothy M. Rawson,Raheelah Ahmad,Albert Buchard,Pantelis Georgiou,François-Xavier Lescure,Gabriel Birgand,Alison Holmes |
| Citations | 557 |
| DOI | 10.1016/j.cmi.2019.09.009 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://www.clinicalmicrobiologyandinfection.com/article/S1198743X1930494X/pdf |
| OpenAlex ID | https://openalex.org/W2973871066 |
| PMID | 31539636 |
| Type | review |
| Year | 2019 |

## Paper authors

- [Nathan Peiffer‐Smadja](https://scholariq.org/researchers/nathan-peiffer-smadja/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.