Bocheng Jing
Dados Biográficos
| ID | 5542228 |
|---|---|
| NOME | Bocheng Jing |
| PRENOMES | Bocheng |
| SOBRENOME | Jing |
| ASSINATURA | JING B |
| AFILIAÇÕES | University of California, San Francisco |
| ORCID | 0000-0002-2021-5055 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
Effects of residential socioeconomic polarization on high blood pressure among nursing home residents
Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data
BACKGROUND: It is unclear whether machine learning methods yield more accurate electronic health record (EHR) prediction models compared with traditional regression methods. OBJECTIVE: The objective of this study was to compare machine learning and traditional regression models for 10-year mortality prediction using EHR data. DESIGN: This was a cohort study. SETTING: Veterans Affairs (VA) EHR data. PARTICIPANTS: Veterans age above 50 with a prima…
Comparison of Pharmacy Database Methods for Determining Prevalent Chronic Medication Use
BACKGROUND: Pharmacy dispensing data are frequently used to identify prevalent medication use as a predictor or covariate in observational research studies. Although several methods have been proposed for using pharmacy dispensing data to identify prevalent medication use, little is known about their comparative performance. OBJECTIVES: The authors sought to compare the performance of different methods for identifying prevalent outpatient medicat…
Sem obras proeminentes nesta página.
Comparison of Pharmacy Database Methods for Determining Prevalent Chronic Medication Use
BACKGROUND: Pharmacy dispensing data are frequently used to identify prevalent medication use as a predictor or covariate in observational research studies. Although several methods have been proposed for using pharmacy dispensing data to identify prevalent medication use, little is known about their comparative performance. OBJECTIVES: The authors sought to compare the performance of different methods for identifying prevalent outpatient medicat…
Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data
BACKGROUND: It is unclear whether machine learning methods yield more accurate electronic health record (EHR) prediction models compared with traditional regression methods. OBJECTIVE: The objective of this study was to compare machine learning and traditional regression models for 10-year mortality prediction using EHR data. DESIGN: This was a cohort study. SETTING: Veterans Affairs (VA) EHR data. PARTICIPANTS: Veterans age above 50 with a prima…
Effects of residential socioeconomic polarization on high blood pressure among nursing home residents
Cohort (3 obras) · Internal Medicine (3 obras) · Medicine (3 obras) · Internal Medicine (2 obras) · Veterans Affairs (2 obras) · Advanced Causal Inference Techniques (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence in Healthcare and Education (1 obras) · Blood pressure (1 obras)