Machine Learning and Decision Support in Critical Care
Clinical data management systems typically provide caregiver teams with useful information, derived from large, sometimes highly heterogeneous, data sources that are often changing dynamically. Over the last decade there has been a significant surge in interest in using these data sources, from simp...
| Publié dans: | Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 104(2016), 2 vom: 16. Feb., Seite 444-466 |
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| Auteur principal: | |
| Autres auteurs: | , , , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2016
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| Accès à la collection: | Proceedings of the IEEE. Institute of Electrical and Electronics Engineers |
| Sujets: | Journal Article Critical care feature extraction machine learning signal processing |