# Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/reverse-engineering-and-evaluation-of-prediction-models-for-progression-to-type/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jeffrey Anderson,Jignesh R. Parikh,Daniel K. Shenfeld,В.Г. Иванов,Casey Marks,Bruce W. Church,Jason M. Laramie,Jack Mardekian,Beth Anne Piper,Richard J. Willke,Dale Rublee |
| Citations | 116 |
| DOI | 10.1177/1932296815620200 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://journals.sagepub.com/doi/pdf/10.1177/1932296815620200 |
| OpenAlex ID | https://openalex.org/W2236731268 |
| PMID | 26685993 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Jack Mardekian](https://scholariq.org/researchers/jack-mardekian/)

## 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](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Diabetes, Cardiovascular Risks, and Lipoproteins](https://scholariq.org/topics/diabetes-cardiovascular-risks-and-lipoproteins/)

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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.