# Recommendations for Reporting Machine Learning Analyses in Clinical Research

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recommendations-for-reporting-machine-learning-analyses-in-clinical-research/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Laura Stevens,Bobak J. Mortazavi,Rahul C. Deo,Lesley H. Curtis,David Kao |
| Citations | 274 |
| DOI | 10.1161/circoutcomes.120.006556 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8320533 |
| OpenAlex ID | https://openalex.org/W3094171951 |
| PMID | 33079589 |
| Type | article |
| Year | 2020 |

## Paper authors

- [David Kao](https://scholariq.org/researchers/david-kao/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

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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.