日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Greater value add from electronic health records than polygenic risk scores for predicting myocardial infarction in machine learning

在机器学习中，电子健康记录比多基因风险评分更能有效地预测心肌梗死。

期刊:
影响因子:
doi:10.1038/s43856-025-01138-5
Isgut, Monica; Hornback, Andrew; Bao, Han; Sun, Yiting; Choi, Katherine; Anderson, Blake J; Deshpande, Shriprasad R; Chang, Anthony C; Wang, May D
心肌梗塞
心血管
发表日期：2025
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Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores

识别和描述最能从多基因风险评分中获益的疾病亚群

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-63705-5
Isgut, Monica; Giuste, Felipe; Gloster, Logan; Swain, Aniketh; Choi, Katherine; Hornback, Andrew; Deshpande, Shriprasad R; Wang, May D
发表日期：2024
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Early and fair COVID-19 outcome risk assessment using robust feature selection

利用稳健特征选择进行早期、公平的 COVID-19 结局风险评估

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-36175-4
Giuste, Felipe O; He, Lawrence; Lais, Peter; Shi, Wenqi; Zhu, Yuanda; Hornback, Andrew; Tsai, Chiche; Isgut, Monica; Anderson, Blake; Wang, May D
发表日期：2023
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Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later

多基因风险评分高度升高，在生命早期比晚期更能预测心肌梗死风险。

期刊:Genome Medicine
影响因子:11.2
doi:10.1186/s13073-021-00828-8
Isgut, Monica; Sun, Jimeng; Quyyumi, Arshed A; Gibson, Greg
心肌梗塞
心血管
发表日期：2021
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