# Current approaches to identify sections within clinical narratives from electronic health records: a systematic review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/current-approaches-to-identify-sections-within-clinical-narratives-from/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alexandra Pomares Quimbaya,Markus Kreuzthaler,Stefan Schulz |
| Citations | 68 |
| DOI | 10.1186/s12874-019-0792-y |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmcmedresmethodol.biomedcentral.com/track/pdf/10.1186/s12874-019-0792-y |
| OpenAlex ID | https://openalex.org/W2958747773 |
| PMID | 31319802 |
| Type | review |
| Year | 2019 |

## Paper authors

- [Stefan Schulz](https://scholariq.org/researchers/stefan-schulz/)

## Paper journal

- [BMC Medical Research Methodology](https://scholariq.org/journals/bmc-medical-research-methodology/)

## Paper primary topic

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

## Paper topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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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.