Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Lidia M V R Moura

Dados Biográficos

ID5539701
NOMELidia M V R Moura
PRENOMESLidia M V R
SOBRENOMEMoura
ASSINATURAMOURA L M V R
AFILIAÇÕESDepartment of Neurology, Massachusetts General Hospital
ORCID0000-0002-1191-1315
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2019
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • Evaluation of Claims-Based Ascertainment of Alzheimer Disease and Related Dementias Across Health Care Settings

    Open Access•Natalia Festa, Mary Price et al.•ARTICLE•JAMA Health Forum•2022

    This cohort study evaluates the ascertainment of Alzheimer disease and related dementia using diagnostic codes in various health care settings

  • Identifying Medicare Beneficiaries With Delirium

    Lidia M V R Moura, Sahar Zafar et al.•ARTICLE•Medical Care•2022•Referências: 33

    BACKGROUND: Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to identify patients with delirium when using Medicare claims data or other large datasets. We developed and assessed the performance of classification algorithms based on longitudinal Medicare administrative data that included International Classification of Diseases, 10th Edition diagnostic codes. ME…

  • Epilepsy Among Elderly Medicare Beneficiaries

    Lidia M V R Moura, Jason R Smith et al.•ARTICLE•Medical Care•2019•Referências: 29

    BACKGROUND: Uncertain validity of epilepsy diagnoses within health insurance claims and other large datasets have hindered efforts to study and monitor care at the population level. OBJECTIVES: To develop and validate prediction models using longitudinal Medicare administrative data to identify patients with actual epilepsy among those with the diagnosis. RESEARCH DESIGN, SUBJECTS, MEASURES: We used linked electronic health records and Medicare a…

Sem obras proeminentes nesta página.

  • Epilepsy Among Elderly Medicare Beneficiaries

    Lidia M V R Moura, Jason R Smith et al.•ARTICLE•Medical Care•2019•Referências: 29

    BACKGROUND: Uncertain validity of epilepsy diagnoses within health insurance claims and other large datasets have hindered efforts to study and monitor care at the population level. OBJECTIVES: To develop and validate prediction models using longitudinal Medicare administrative data to identify patients with actual epilepsy among those with the diagnosis. RESEARCH DESIGN, SUBJECTS, MEASURES: We used linked electronic health records and Medicare a…

  • Evaluation of Claims-Based Ascertainment of Alzheimer Disease and Related Dementias Across Health Care Settings

    Open Access•Natalia Festa, Mary Price et al.•ARTICLE•JAMA Health Forum•2022

    This cohort study evaluates the ascertainment of Alzheimer disease and related dementia using diagnostic codes in various health care settings

  • Identifying Medicare Beneficiaries With Delirium

    Lidia M V R Moura, Sahar Zafar et al.•ARTICLE•Medical Care•2022•Referências: 33

    BACKGROUND: Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to identify patients with delirium when using Medicare claims data or other large datasets. We developed and assessed the performance of classification algorithms based on longitudinal Medicare administrative data that included International Classification of Diseases, 10th Edition diagnostic codes. ME…

Medicine (3 obras) · Machine Learning in Healthcare (2 obras) · Psychiatry (2 obras) · Actuarial science (1 obras) · Alzheimer's disease (1 obras) · Anesthesia and Sedative Agents (1 obras) · Business (1 obras) · Confidence interval (1 obras) · Delirium (1 obras) · Dementia (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae