利用机器学习预测南亚心血管疾病风险因素的控制医学

Predicting control of cardiovascular disease risk factors in South Asia using machine learning

15.1 2024 DOI: 10.1038/s41746-024-01353-9
#科研版#PDF转视频
作者Anna Reuter
作者单位6Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA. | 7Centre for Control of Chronic Conditions, Public Health Foundation of India, Gurgaon, India. | 8Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India. 9TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. 10Munich Center for Health Economics and Policy, Munich, Germany.

一句话总结

Reuter 等基于两项已完成随机对照试验的纵向数据（纳入1,502例印度和巴基斯坦城市糖尿病患者）的机器学习预测模型研究，采用随机森林分类器预测基线后1年未能达到心血管风险因素控制目标或实现有意义改善的风险，发现将预测风险评分处于最高四分位的患者识别为高危人群时，预测未达标的精确率分别为HbA1c

参考文献

Anna Reuter. Predicting control of cardiovascular disease risk factors in South Asia using machine learning[J]. npj Digital Medicine, 2024.