# Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-machine-learning-and-natural-language-processing-algorithms-for/

## 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,Sunita Srivastava,Christopher M. Bono,James D. Kang,Mitchel B. Harris,Joseph H. Schwab |
| Citations | 64 |
| DOI | 10.1016/j.spinee.2020.04.001 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3016028808 |
| PMID | 32294557 |
| 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

- [Anesthesia and Pain Management](https://scholariq.org/topics/anesthesia-and-pain-management/)

## Paper topics

- [Anesthesia and Pain Management](https://scholariq.org/topics/anesthesia-and-pain-management/)
- [Surgical site infection prevention](https://scholariq.org/topics/surgical-site-infection-prevention/)
- [Cardiac, Anesthesia and Surgical Outcomes](https://scholariq.org/topics/cardiac-anesthesia-and-surgical-outcomes/)

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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.