# Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine.

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/modeling-and-executing-electronic-health-records-driven-phenotyping-algorithms/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dingcheng Li,Cory M. Endle,Sahana Murthy,Craig Stancl,Dale Suesse,Davide Sottara,Stanley M. Huff,Christopher G. Chute,Jyotishman Pathak |
| Citations | 32 |
| Fields | Biochemistry, Genetics and Molecular Biology,Health Professions,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/3540464 |
| OpenAlex ID | https://openalex.org/W23901004 |
| PMID | 23304325 |
| Type | conference-paper |
| Year | 2012 |

## Paper authors

- [Dingcheng Li](https://scholariq.org/researchers/dingcheng-li/)

## Paper journal

- [PubMed](https://scholariq.org/journals/pubmed/)

## Paper primary topic

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

## Paper topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Clinical practice guidelines implementation](https://scholariq.org/topics/clinical-practice-guidelines-implementation/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)

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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.