# Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-natural-language-processing-provide-accurate-automated-reporting-of-wound/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aditya V. Karhade,Michiel E. R. Bongers,Olivier Q. Groot,Thomas D. Cha,Terence P. Doorly,Harold A. Fogel,Stuart H. Hershman,Daniel G. Tobert,Andrew J. Schoenfeld,James D. Kang,Mitchel B. Harris,Christopher M. Bono,Joseph H. Schwab |
| Citations | 56 |
| DOI | 10.1016/j.spinee.2020.02.021 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3009812747 |
| PMID | 32145358 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Daniel G. Tobert](https://scholariq.org/researchers/daniel-g-tobert/)

## Paper journal

- [The Spine Journal](https://scholariq.org/journals/the-spine-journal/)

## Paper primary topic

- [Surgical site infection prevention](https://scholariq.org/topics/surgical-site-infection-prevention/)

## Paper topics

- [Surgical site infection prevention](https://scholariq.org/topics/surgical-site-infection-prevention/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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