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Sei J Lee

Biographic Data

ID5539678
NAMESei J Lee
GIVEN NAMESSei J
FAMILY NAMELee
SIGNATURELEE S J
AFFILIATIONSSan Francisco VA Medical Center
ORCID0000-0001-7864-5341
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Effects of residential socioeconomic polarization on high blood pressure among nursing home residents

    Open Access•Hoda S Abdel Magid, Samuel Jaros et al.•ARTICLE•Health & Place•2024•References: 11

  • Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data

    Bocheng Jing, W John Boscardin et al.•ARTICLE•Medical Care•2022•References: 33

    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…

  • A Novel Metric for Developing Easy-to-Use and Accurate Clinical Prediction Models

    Sei J Lee, Alexander K Smith et al.•ARTICLE•Medical Care•2021•References: 19

    BACKGROUND: Guidelines recommend that clinicians use clinical prediction models to estimate future risk to guide decisions. For example, predicted fracture risk is a major factor in the decision to initiate bisphosphonate medications. However, current methods for developing prediction models often lead to models that are accurate but difficult to use in clinical settings. OBJECTIVE: The objective of this study was to develop and test whether a ne…

  • A Clinically Guided Approach for Improving Performance Measurement for Hypertension

    Michael A Steinman, Sei J Lee et al.•ARTICLE•Medical Care•2012•References: 20

    BACKGROUND: Performance measures often fail to account for legitimate reasons why patients do not achieve recommended treatment targets. METHODS: We tested a novel performance measurement system for blood pressure (BP) control that was designed to mimic clinical reasoning. This clinically guided approach focuses on (1) exempting patients for whom tight BP control may not be appropriate or feasible and (2) assessing BP over time. Trained abstracto…

  • Chronic Conditions and Mortality Among the Oldest Old

    Sei J Lee, Alan S Go et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 1•References: 35

    Objectives. We sought to determine whether chronic conditions and functional limitations are equally predictive of mortality among older adults. Methods. Participants in the 1998 wave of the Health and Retirement Study (N=19430) were divided into groups by decades of age, and their vital status in 2004 was determined. We used multivariate Cox regression to determine the ability of chronic conditions and functional limitations to predict mortality…

  • Chronic Conditions and Mortality Among the Oldest Old

    Sei J Lee, Alan S Go et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 1•References: 35

    Objectives. We sought to determine whether chronic conditions and functional limitations are equally predictive of mortality among older adults. Methods. Participants in the 1998 wave of the Health and Retirement Study (N=19430) were divided into groups by decades of age, and their vital status in 2004 was determined. We used multivariate Cox regression to determine the ability of chronic conditions and functional limitations to predict mortality…

  • Chronic Conditions and Mortality Among the Oldest Old

    Sei J Lee, Alan S Go et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 1•References: 35

    Objectives. We sought to determine whether chronic conditions and functional limitations are equally predictive of mortality among older adults. Methods. Participants in the 1998 wave of the Health and Retirement Study (N=19430) were divided into groups by decades of age, and their vital status in 2004 was determined. We used multivariate Cox regression to determine the ability of chronic conditions and functional limitations to predict mortality…

  • A Clinically Guided Approach for Improving Performance Measurement for Hypertension

    Michael A Steinman, Sei J Lee et al.•ARTICLE•Medical Care•2012•References: 20

    BACKGROUND: Performance measures often fail to account for legitimate reasons why patients do not achieve recommended treatment targets. METHODS: We tested a novel performance measurement system for blood pressure (BP) control that was designed to mimic clinical reasoning. This clinically guided approach focuses on (1) exempting patients for whom tight BP control may not be appropriate or feasible and (2) assessing BP over time. Trained abstracto…

  • A Novel Metric for Developing Easy-to-Use and Accurate Clinical Prediction Models

    Sei J Lee, Alexander K Smith et al.•ARTICLE•Medical Care•2021•References: 19

    BACKGROUND: Guidelines recommend that clinicians use clinical prediction models to estimate future risk to guide decisions. For example, predicted fracture risk is a major factor in the decision to initiate bisphosphonate medications. However, current methods for developing prediction models often lead to models that are accurate but difficult to use in clinical settings. OBJECTIVE: The objective of this study was to develop and test whether a ne…

  • Comparing Machine Learning to Regression Methods for Mortality Prediction Using Veterans Affairs Electronic Health Record Clinical Data

    Bocheng Jing, W John Boscardin et al.•ARTICLE•Medical Care•2022•References: 33

    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

    Open Access•Hoda S Abdel Magid, Samuel Jaros et al.•ARTICLE•Health & Place•2024•References: 11

Internal Medicine (4 works) · Medicine (4 works) · Internal Medicine (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Cohort (2 works) · Computer Science (2 works) · Demography (2 works) · Gerontology (2 works) · Health disparities and outcomes (2 works) · Statistic (2 works)

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