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Intended for Healthcare Professionals
British Journal of General Practice

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Research Article

A nationwide adaptive prediction tool for coronary heart disease prevention.

Tim A Holt and Lucila Ohno-Machado
British Journal of General Practice 2003; 53 (496): 866-870.
Tim A Holt
Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, USA. tholt@ukonline.co.uk
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Lucila Ohno-Machado
Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, USA. tholt@ukonline.co.uk
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Abstract

Standardised electronic recording of cardiovascular risk factor data collected during primary care delivery could be used to create a new strategy, using an adaptive prediction model, for targeting primary prevention interventions at high-risk individuals. In the short term, this should progressively improve data quality and allow risk modification to be monitored at the population level. In the long term, feedback of data on cardiovascular disease development might enable the model to tailor the recommended interventions more appropriately to the needs of the individual and to adapt to future changes in risk patterns. Ultimately, the inclusion of additional cardiovascular risk factors might enable a richer, more realistic picture of cardiovascular risk profiles to be uncovered. This model may have wider uses in both research and practice, and provides a further incentive for the standardisation of record keeping in primary care.

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British Journal of General Practice: 53 (496)
British Journal of General Practice
Vol. 53, Issue 496
November 2003
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A nationwide adaptive prediction tool for coronary heart disease prevention.
Tim A Holt, Lucila Ohno-Machado
British Journal of General Practice 2003; 53 (496): 866-870.

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A nationwide adaptive prediction tool for coronary heart disease prevention.
Tim A Holt, Lucila Ohno-Machado
British Journal of General Practice 2003; 53 (496): 866-870.
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Print ISSN: 0960-1643
Online ISSN: 1478-5242