APS
APS Virtual Poster Showcase · 2020
Using Bidirectional Lstm Recurrent Neural Networks to Study Effects of Iron Deficiency(ID) on Declarative and Procedural Memory Systems
- Yaqi Li
University of Oklahoma - Hairong Song
The University of Oklahoma - Michael Wenger
University of Oklahoma - Stephanie Rhoten
University of Oklahoma
Abstract
This study aimed to examine the association of iron status with declarative and procedural memory by applying BiLSTM-RNN on cognitive performance data. The results showed the effect of ID on these two types of memory, and more importantly, the performance on rule-based task being a salient cognitive marker for ID.
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