Ning Shang

Orcid: 0000-0001-7040-5204

According to our database1, Ning Shang authored at least 13 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2021
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies.
npj Digit. Medicine, 2021

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
npj Digit. Medicine, 2021

Similarity-based health risk prediction using Domain Fusion and electronic health records data.
J. Biomed. Informatics, 2021

2020
Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping.
J. Biomed. Informatics, 2020

A graph-based method for reconstructing entities from coordination ellipsis in medical text.
J. Am. Medical Informatics Assoc., 2020

2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019

Ensembles of natural language processing systems for portable phenotyping solutions.
J. Biomed. Informatics, 2019

Criteria2Query: a natural language interface to clinical databases for cohort definition.
J. Am. Medical Informatics Assoc., 2019

2018
A conceptual framework for evaluating data suitability for observational studies.
J. Am. Medical Informatics Assoc., 2018

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.
J. Am. Medical Informatics Assoc., 2018

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.
J. Am. Medical Informatics Assoc., 2018

Effect of vocabulary mapping for conditions on phenotype cohorts.
J. Am. Medical Informatics Assoc., 2018

2014
Identifying plausible adverse drug reactions using knowledge extracted from the literature.
J. Biomed. Informatics, 2014


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