Exploring the Preprocessing of a Time-Series Healthcare Administrative Dataset on Deep Learning to Improve Prediction

Preprocessing methods are important in enhancing prediction performance for time-series administrative data. This study underscores the importance of preprocessing methods by comparing two data representation techniques, that can be used with sliding window techniques for time-series administrative...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	Faezehsadat Shahidi, M. Ethan Macdonald, Dallas Seitz, Rebecca Barry, Geoffrey Messier
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2025-01-01
الموضوعات:	Gated recurrent unit networks on clinical demand window structure sliding window sequence of events and sequence matrix representations time-series healthcare administrative data
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10807221/