# An administrative data merging solution for dealing with missing data in a clinical registry: adaptation from ICD-9 to ICD-10

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-administrative-data-merging-solution-for-dealing-with-missing-data-in-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Danielle A. Southern,Colleen M. Norris,Hude Quan,Fiona M. Shrive,P. Diane Galbraith,Karin H. Humphries,Min Gao,Merril L. Knudtson,William A. Ghali,the APPROACH Investigators |
| Citations | 504 |
| DOI | 10.1186/1471-2288-8-1 |
| Fields | Computer Science,Health Professions,Mathematics |
| Open Access | true |
| OA Status | gold |
| OA URL | https://link.springer.com/content/pdf/10.1186/1471-2288-8-1.pdf |
| OpenAlex ID | https://openalex.org/W1964304172 |
| PMID | 18215293 |
| Type | article |
| Year | 2008 |

## Paper authors

- [Min Gao](https://scholariq.org/researchers/min-gao/)
- [Karin H. Humphries](https://scholariq.org/researchers/karin-h-humphries/)

## Paper journal

- [BMC Medical Research Methodology](https://scholariq.org/journals/bmc-medical-research-methodology/)

## Paper primary topic

- [Medical Coding and Health Information](https://scholariq.org/topics/medical-coding-and-health-information/)

## Paper topics

- [Medical Coding and Health Information](https://scholariq.org/topics/medical-coding-and-health-information/)
- [Statistical Methods and Bayesian Inference](https://scholariq.org/topics/statistical-methods-and-bayesian-inference/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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