Shelby Evans

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Computer-based data mining methodology applied to family history clinical data can algorithmically create highly accurate, clinically oriented hereditary disease pattern recognizers. For the example of hereditary colon cancer, the data mining's selection of relevant factors to assess for hereditary colon cancer was statistically significant (P < 0.05). All(More)
Two hundred twenty-eight surveyed parents reported that their 5 to 7 year old children drank approximately 52 mg of caffeine daily and their 8 to 12 year old children drank 109 mg daily. Caffeine consumption and hours slept were significantly negatively correlated, but caffeine consumption and enuresis were not significantly correlated. Spanish-speaking(More)
A 12-year medical informatics project is described whose goal was to create a distributable computer-based service to support the identification of hereditary cancer patterns and recommend concomitant protocols of patient care surveillance. Key elements of the successful implementation strategy are described as the service has been successfully utilized at(More)
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