# Applying machine learning to enhance core outcome set development: automating the data extraction and classification of outcomes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/applying-machine-learning-to-enhance-core-outcome-set-development-automating-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Yalçınkaya,Kristian Gade Kjelmann,Shima Gholinezhad,Ole Rahbek,Søren Kold,Hans‐Christen Husum |
| Citations | 1 |
| DOI | 10.1186/s13018-025-06386-8 |
| Fields | Decision Sciences,Medicine,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://josr-online.biomedcentral.com/counter/pdf/10.1186/s13018-025-06386-8 |
| OpenAlex ID | https://openalex.org/W4415996204 |
| PMID | 41204228 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shima Gholinezhad](https://scholariq.org/researchers/shima-gholinezhad/)

## Paper primary topic

- [Total Knee Arthroplasty Outcomes](https://scholariq.org/topics/total-knee-arthroplasty-outcomes/)

## Paper topics

- [Total Knee Arthroplasty Outcomes](https://scholariq.org/topics/total-knee-arthroplasty-outcomes/)
- [Delphi Technique in Research](https://scholariq.org/topics/delphi-technique-in-research/)
- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)

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