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Michael Pencina

Biographic Data

ID6062857
NAMEMichael Pencina
GIVEN NAMESMichael
FAMILY NAMEPencina
SIGNATUREPENCINA M
AFFILIATIONSFramingham Heart Study
ORCID0000-0002-1968-2641
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS9
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Bridging the Gap Between Developers and Implementers in Health AI

    Open Access•Michael J Pencina, Michael Pencina et al.•ARTICLE•JAMA Health Forum•2025

    This Viewpoint describes opportunities for health care organizations to close gaps between the development and implementation of artificial intelligence using third-party enablers for training, adherence monitoring, local governance, and evidence generation

  • Needles in a Haystack

    Open Access•Gina-Maria Pomann, Tracy Truong et al.•ARTICLE•Academic Medicine•2023

    Translational research is a data-driven process that involves transforming scientific laboratory- and clinic-based discoveries into products and activities with real-world impact to improve individual and population health. Successful execution of translational research requires collaboration between clinical and translational science researchers, who have expertise in a wide variety of domains across the field of medicine, and qualitative and qu…

  • Predicted Long-Term Cardiovascular Risk Among Young Adults in the National Longitudinal Study of Adolescent Health

    Cory J Clark, Cari Jo Clark et al.•ARTICLE•American Journal of Public Health•2014•Cited by: 6•References: 40

    Objectives. We estimated the distribution of predicted long-term cardiovascular disease (CVD) risk among young adults in the United States. Methods. Our data were derived from National Longitudinal Study of Adolescent Health participants (n = 14 333; average age: 28.9 years). We used a Framingham-derived risk prediction function to calculate 30-year risks of “hard” and “general” CVD by gender and race/ethnicity. Results. Average 30-year risks for…

  • Assessing the Performance of Prediction Models

    Ewout W Steyerberg, Andrew J Vickers et al.•ARTICLE•Epidemiology•2010

    The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen …

  • General Cardiovascular Risk Profile for Use in Primary Care

    Ralph B D’agostino, Ramachandran S Vasan et al.•ARTICLE•Circulation•2008

    Background— Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. Methods and Results— We used Cox proportional-hazards regression to e…

  • Temporal Trends in Self-Reported Functional Limitations and Physical Disability Among the Community-Dwelling Elderly Population

    Joanne M Murabito, Michael J Pencina et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 3•References: 34

    Objectives. We sought to determine change in the prevalence of functional limitations and physical disability among the community-dwelling elderly population across 3 decades. Methods. We studied original participants of the Framingham Heart Study, aged 79 to 88 years, at examination 15 (1977–1979; 177 women, 103 men), examination 20 (1988–1990; 159 women, 98 men) and examination 25 (1997–1999; 174 women, 119 men). Self-reported functional limita…

  • Predicted Long-Term Cardiovascular Risk Among Young Adults in the National Longitudinal Study of Adolescent Health

    Cory J Clark, Cari Jo Clark et al.•ARTICLE•American Journal of Public Health•2014•Cited by: 6•References: 40

    Objectives. We estimated the distribution of predicted long-term cardiovascular disease (CVD) risk among young adults in the United States. Methods. Our data were derived from National Longitudinal Study of Adolescent Health participants (n = 14 333; average age: 28.9 years). We used a Framingham-derived risk prediction function to calculate 30-year risks of “hard” and “general” CVD by gender and race/ethnicity. Results. Average 30-year risks for…

  • Temporal Trends in Self-Reported Functional Limitations and Physical Disability Among the Community-Dwelling Elderly Population

    Joanne M Murabito, Michael J Pencina et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 3•References: 34

    Objectives. We sought to determine change in the prevalence of functional limitations and physical disability among the community-dwelling elderly population across 3 decades. Methods. We studied original participants of the Framingham Heart Study, aged 79 to 88 years, at examination 15 (1977–1979; 177 women, 103 men), examination 20 (1988–1990; 159 women, 98 men) and examination 25 (1997–1999; 174 women, 119 men). Self-reported functional limita…

  • General Cardiovascular Risk Profile for Use in Primary Care

    Ralph B D’agostino, Ramachandran S Vasan et al.•ARTICLE•Circulation•2008

    Background— Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. Methods and Results— We used Cox proportional-hazards regression to e…

  • Temporal Trends in Self-Reported Functional Limitations and Physical Disability Among the Community-Dwelling Elderly Population

    Joanne M Murabito, Michael J Pencina et al.•ARTICLE•American Journal of Public Health•2008•Cited by: 3•References: 34

    Objectives. We sought to determine change in the prevalence of functional limitations and physical disability among the community-dwelling elderly population across 3 decades. Methods. We studied original participants of the Framingham Heart Study, aged 79 to 88 years, at examination 15 (1977–1979; 177 women, 103 men), examination 20 (1988–1990; 159 women, 98 men) and examination 25 (1997–1999; 174 women, 119 men). Self-reported functional limita…

  • Assessing the Performance of Prediction Models

    Ewout W Steyerberg, Andrew J Vickers et al.•ARTICLE•Epidemiology•2010

    The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen …

  • Predicted Long-Term Cardiovascular Risk Among Young Adults in the National Longitudinal Study of Adolescent Health

    Cory J Clark, Cari Jo Clark et al.•ARTICLE•American Journal of Public Health•2014•Cited by: 6•References: 40

    Objectives. We estimated the distribution of predicted long-term cardiovascular disease (CVD) risk among young adults in the United States. Methods. Our data were derived from National Longitudinal Study of Adolescent Health participants (n = 14 333; average age: 28.9 years). We used a Framingham-derived risk prediction function to calculate 30-year risks of “hard” and “general” CVD by gender and race/ethnicity. Results. Average 30-year risks for…

  • Needles in a Haystack

    Open Access•Gina-Maria Pomann, Tracy Truong et al.•ARTICLE•Academic Medicine•2023

    Translational research is a data-driven process that involves transforming scientific laboratory- and clinic-based discoveries into products and activities with real-world impact to improve individual and population health. Successful execution of translational research requires collaboration between clinical and translational science researchers, who have expertise in a wide variety of domains across the field of medicine, and qualitative and qu…

  • Bridging the Gap Between Developers and Implementers in Health AI

    Open Access•Michael J Pencina, Michael Pencina et al.•ARTICLE•JAMA Health Forum•2025

    This Viewpoint describes opportunities for health care organizations to close gaps between the development and implementation of artificial intelligence using third-party enablers for training, adherence monitoring, local governance, and evidence generation

Medicine (5 works) · Computer Science (3 works) · Disease (3 works) · Framingham Risk Score (3 works) · Internal Medicine (3 works) · Demography (2 works) · Environmental health (2 works) · Framingham Heart Study (2 works) · Gerontology (2 works) · Gerontology (2 works)

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