# Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-and-natural-language-processing-methods-to-identify-ischemic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Charlene Ong,Agni Orfanoudaki,Rebecca Zhang,Francois Pierre M. Caprasse,Meghan R. Hutch,Liang Ma,Darian Fard,Oluwafemi Balogun,Matthew I. Miller,Margaret A. Minnig,Hanife Sağlam,Brenton Prescott,David M. Greer,Stelios M. Smirnakis,Dimitris Bertsimas |
| Citations | 107 |
| DOI | 10.1371/journal.pone.0234908 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0234908&type=printable |
| OpenAlex ID | https://openalex.org/W3035833355 |
| PMID | 32559211 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Darian Fard](https://scholariq.org/researchers/darian-fard/)

## Paper journal

- [PLoS ONE](https://scholariq.org/journals/plos-one/)

## Paper primary topic

- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)

## Paper topics

- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.