Portal de investigação
Measuring Variability in Acute Myocardial Infarction Coding Using a Statistical Process Control and Probabilistic Temporal Data Quality Control Approaches
Autores da FMUP
Participantes de fora da FMUP
- Souza, J
- Caballero,
- Pinto, A
- Saez, C
Unidades de investigação
Abstract
Abstract no disponible
Dados da publicação
- ISBN:
- 9783030726508
- Tipo:
- Proceedings Paper
- Páginas:
- 193-202
- Link para outro recurso:
- www.scopus.com
Trends And Applications In Information Systems And Technologies, Vol 2 SPRINGER INTERNATIONAL PUBLISHING AG
Documentos
- Não há documentos
Filiações
Filiações não disponíveis
Keywords
- Data quality; Clinical coding; Data variability; Acute myocardial infarction; Clinical classification software; International classification of diseases
Proyectos asociados
A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems
Investigador Principal: José Alberto da Silva Freitas
Estudo Clínico Académico . 2020
Citar a publicação
Souza J,Caballero ,Santos J,Lobo MF,Pinto A,Viana J,Saez C,Freitas A. Measuring Variability in Acute Myocardial Infarction Coding Using a Statistical Process Control and Probabilistic Temporal Data Quality Control Approaches. En:Trends And Applications In Information Systems And Technologies, Vol 2. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG. 2021. p. 193-202.
