Jessica Davila
Dados Biográficos
| ID | 5542463 |
|---|---|
| NOME | Jessica Davila |
| PRENOMES | Jessica |
| SOBRENOME | Davila |
| ASSINATURA | DAVILA J |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2012 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2016 |
| ÍNDICE H | 0 |
Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing
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
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…
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Measuring Retention in HIV Care
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
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)