Nov 27, 2019 · We develop a general health status representation learning model, named AdaCare. It can capture the long and short-term variations of biomarkers as clinical ...

To improve the adapt- ability of AdaCare in terms of feature utilization, we de- sign the scale-adaptive clinical feature recalibration module based on SEblock ...

The source code for AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration

Deep learning-based health status representation learning and clinical prediction have raised much research interest in recent years.

Dive into the research topics of 'AdaCare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration'.

Nov 24, 2019 · Deep learning-based health status representation learning and clinical prediction have raised much research interest in recent years.

Deep learning-based health status representation learning and clinical prediction have raised much research interest in recent years.

Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration, in Proceedings of the AAAI ...

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. Proceedings of the AAAI ...

Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration. L Ma, J Gao, Y Wang, C Zhang, J ...