Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation

<p dir="ltr">Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. Most existing studies follow a strong assumption of stationarit...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Rawan AlSaad (14159019) (author)
مؤلفون آخرون: Qutaibah Malluhi (3158757) (author), Alaa Abd-alrazaq (17058018) (author), Sabri Boughorbel (846228) (author)
منشور في: 2024
الموضوعات:
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Self-attention
Electronic health records
Time series prediction
Non-stationary kernel
Temporal model
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