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Machine learning in healthcare informatics
The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for he...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2014
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-40017-9 http://cds.cern.ch/record/1642361 |
| Sumario: | The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries. |
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