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Jessica Davila

Datos Biográficos

ID5542463
NOMBREJessica Davila
NOMBRESJessica
APELLIDODavila
FIRMADAVILA J
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2012
AÑO MÁS RECIENTE DE PUBLICACIÓN2016
ÍNDICE H0
  • Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing

    Yvonne Sada, Yvonne H Sada et al.•ARTICLE•Medical Care•2016•Referencias: 14

    BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-9) codes, and evaluated whether natural language processing by the Automated Retrieval Console (ARC) for document classification improves HCC identification. METHODS: We identified a cohort of patient…

  • Measuring Retention in HIV Care

    Michael J Mugavero, Michael Mugavero et al.•ARTICLE•JAIDS Journal of Acquired Immune…•2012

    BACKGROUND: Measuring retention in HIV primary care is complex, as care includes multiple visits scheduled at varying intervals over time. We evaluated 6 commonly used retention measures in predicting viral load (VL) suppression and the correlation among measures. METHODS: Clinic-wide patient-level data from 6 academic HIV clinics were used for 12 months preceding implementation of the Centers for Disease Control and Prevention/Health Resources a…

Sin obras prominentes en esta página.

  • Measuring Retention in HIV Care

    Michael J Mugavero, Michael Mugavero et al.•ARTICLE•JAIDS Journal of Acquired Immune…•2012

    BACKGROUND: Measuring retention in HIV primary care is complex, as care includes multiple visits scheduled at varying intervals over time. We evaluated 6 commonly used retention measures in predicting viral load (VL) suppression and the correlation among measures. METHODS: Clinic-wide patient-level data from 6 academic HIV clinics were used for 12 months preceding implementation of the Centers for Disease Control and Prevention/Health Resources a…

  • Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing

    Yvonne Sada, Yvonne H Sada et al.•ARTICLE•Medical Care•2016•Referencias: 14

    BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-9) codes, and evaluated whether natural language processing by the Automated Retrieval Console (ARC) for document classification improves HCC identification. METHODS: We identified a cohort of patient…

Medicine (2 obras) · AI in cancer detection (1 obras) · Algorithm (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence in Healthcare (1 obras) · Computer Science (1 obras) · Diagnosis code (1 obras) · Family medicine (1 obras) · HIV, Drug Use, Sexual Risk (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae