Explainable models of disease progression in ALS: Learning from longitudinal clinical data with recurrent neural networks and deep model explanation
Background and Objectives Deep neural networks recently become a popular tool in medical research to predict disease progression and unveil its underlying temporal phenotypes. While being well suited to study longitudinal clinical data and learn disease progression models, its application in clinica...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Computer Methods and Programs in Biomedicine Update |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666990021000173 |