# Development and validation of algorithms to identify newly diagnosed type 1 and type 2 diabetes in pediatric population using electronic medical records and claims data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-and-validation-of-algorithms-to-identify-newly-diagnosed-type-1-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dana Y. Teltsch,Soulmaz Fazeli Farsani,Richard S. Swain,Stefan Kaspers,Samuel Huse,Christina L Cristaldi,Beth Nordstrom,Kimberly G. Brodovicz |
| Citations | 22 |
| DOI | 10.1002/pds.4728 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2914821960 |
| PMID | 30677205 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Dana Y. Teltsch](https://scholariq.org/researchers/dana-y-teltsch/)

## Paper primary topic

- [Diabetes and associated disorders](https://scholariq.org/topics/diabetes-and-associated-disorders/)

## Paper topics

- [Diabetes and associated disorders](https://scholariq.org/topics/diabetes-and-associated-disorders/)
- [Diabetes Management and Research](https://scholariq.org/topics/diabetes-management-and-research/)
- [Pancreatic function and diabetes](https://scholariq.org/topics/pancreatic-function-and-diabetes/)

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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.