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...
Guardado en:
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
|
| Colección: | Intelligent Systems Reference Library,
56 |
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-642-40017-9 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 02276Cam#a22004215i#4500 | ||
|---|---|---|---|
| 001 | INGC-EBK-000670 | ||
| 003 | AR-LpUFI | ||
| 005 | 20220927110028.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 131209s2014 gw | s |||| 0|eng d | ||
| 020 | |a 9783642400179 | ||
| 024 | 7 | |a 10.1007/978-3-642-40017-9 |2 doi | |
| 050 | 4 | |a Q342 | |
| 072 | 7 | |a UYQ |2 bicssc | |
| 072 | 7 | |a COM004000 |2 bisacsh | |
| 245 | 1 | 0 | |a Machine Learning in Healthcare Informatics |h [libro electrónico] / |c edited by Sumeet Dua, U. Rajendra Acharya, Prerna Dua. |
| 260 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2014. | |
| 300 | |a xii, 332 p. |b il. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Intelligent Systems Reference Library, |x 1868-4394 ; |v 56 | |
| 505 | 0 | |a From the Contents -- Introduction to Machine Learning in Healthcare Informatics -- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis -- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient -- A Study on Machine Learning in EEG Signal Analysis. | |
| 520 | |a 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. | ||
| 650 | 1 | 4 | |a Engineering. |9 259622 |
| 650 | 2 | 4 | |a Computational Intelligence. |9 259845 |
| 650 | 2 | 4 | |a Artificial Intelligence (incl. Robotics). |9 259846 |
| 700 | 1 | |a Dua, Sumeet. |e ed. |9 261712 | |
| 700 | 1 | |a Acharya, U. Rajendra. |e ed. |9 261713 | |
| 700 | 1 | |a Dua, Prerna. |e ed. |9 261714 | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642400162 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-642-40017-9 |
| 912 | |a ZDB-2-ENG | ||
| 929 | |a COM | ||
| 942 | |c EBK |6 _ | ||
| 950 | |a Engineering (Springer-11647) | ||
| 999 | |a SKV |c 28098 |d 28098 | ||