» Articles » PMID: 20724404

Importance of Accurately Identifying Disease in Studies Using Electronic Health Records

Overview
Journal BMJ
Specialty General Medicine
Date 2010 Aug 21
PMID 20724404
Citations 78
Authors
Affiliations
Soon will be listed here.
Citing Articles

Methods for identifying health status from routinely collected health data: An overview.

Liu M, Deng K, Wang M, He Q, Xu J, Li G Integr Med Res. 2025; 14(1):101100.

PMID: 39897572 PMC: 11786076. DOI: 10.1016/j.imr.2024.101100.


Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records.

Wulcan J, Jacques K, Lee M, Kovacs S, Dausend N, Prince L Front Vet Sci. 2025; 11:1490030.

PMID: 39885843 PMC: 11780673. DOI: 10.3389/fvets.2024.1490030.


Validity of Routinely Reported Rutherford Scores Reported by Clinicians as Part of Daily Clinical Practice.

van der Heijden L, Marang-van de Mheen P, Thielman L, Stijnen P, Hamming J, Fourneau I Int J Angiol. 2024; 33(3):148-155.

PMID: 39131806 PMC: 11315596. DOI: 10.1055/s-0043-1761280.


Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD).

Wang W, Jin Y, Liu M, He Q, Xu J, Wang M Mil Med Res. 2024; 11(1):52.

PMID: 39107834 PMC: 11302358. DOI: 10.1186/s40779-024-00559-y.


Noninvasive Risk Prediction Models for Heart Failure Using Proportional Jaccard Indices and Comorbidity Patterns.

Tang Y, Wang C, Mitra P, Pai T Rev Cardiovasc Med. 2024; 25(5):179.

PMID: 39076472 PMC: 11267177. DOI: 10.31083/j.rcm2505179.