# Making Machine Learning Models Clinically Useful

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/making-machine-learning-models-clinically-useful/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nigam H. Shah,Arnold Milstein,Steven C. Bagley |
| Citations | 295 |
| DOI | 10.1001/jama.2019.10306 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2967844572 |
| PMID | 31393527 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Arnold Milstein](https://scholariq.org/researchers/arnold-milstein/)

## Paper journal

- [JAMA](https://scholariq.org/journals/jama/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Healthcare cost, quality, practices](https://scholariq.org/topics/healthcare-cost-quality-practices/)
- [Autopsy Techniques and Outcomes](https://scholariq.org/topics/autopsy-techniques-and-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.