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Primary care electronic medical records can be used to predict risk and identify potentially modifiable factors for early and late death in adult onset epilepsy
Epilepsia ( IF 5.6 ) Pub Date : 2020-12-14 , DOI: 10.1111/epi.16738
Marianne Hrabok 1, 2 , Jordan D. T. Engbers 3 , Samuel Wiebe 1, 4, 5, 6, 7 , Tolulope T. Sajobi 1, 4, 5, 6 , Ann Subota 4 , Amal Almohawes 1 , Paolo Federico 1, 5 , Alexandra Hanson 1 , Karl Martin Klein 1, 4, 5, 8, 9 , Joseph Peedicail 1 , Neelan Pillay 1 , Shaily Singh 1 , Colin B. Josephson 1, 4, 5, 6, 7
Affiliation  

To use clinically informed machine learning to derive prediction models for early and late premature death in epilepsy.

中文翻译:

初级保健电子病历可用于预测风险并识别成人发作性癫痫早期和晚期死亡的潜在可变因素

使用临床知情机器学习来推导出癫痫早期和晚期过早死亡的预测模型。
更新日期:2020-12-14
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