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从电子健康记录数据中推断高脂肪饮食模式,使用机器学习.

Ya-Yun Yeh1, Hsin-Yueh Lin1, Jingchuan Guo2,3

  • 1Department of Pharmaceutical Outcomes and Policy, University of Florida, College of Pharmacy, Gainesville, FL 32610, United States.

JAMIA open
|January 14, 2026
PubMed
概括

机器学习可以从电子健康记录中识别高脂肪饮食,改善饮食疾病研究. 这种方法从可用的变量推断出饮食模式,为精准医学提供了一个可扩展的工具.

关键词:
可计算的表型化.电子健康记录是电子健康记录.高脂肪的饮食高脂肪的饮食机器学习是机器学习.

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...