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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dua, Sumeet (Επιμελητής έκδοσης), Acharya, U. Rajendra (Επιμελητής έκδοσης), Dua, Prerna (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:Intelligent Systems Reference Library, 56
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02568nam a22004815i 4500
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020 |a 9783642400179  |9 978-3-642-40017-9 
024 7 |a 10.1007/978-3-642-40017-9  |2 doi 
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072 7 |a UYQ  |2 bicssc 
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245 1 0 |a Machine Learning in Healthcare Informatics  |h [electronic resource] /  |c edited by Sumeet Dua, U. Rajendra Acharya, Prerna Dua. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XII, 332 p. 119 illus., 50 illus. in color.  |b online resource. 
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 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Dua, Sumeet.  |e editor. 
700 1 |a Acharya, U. Rajendra.  |e editor. 
700 1 |a Dua, Prerna.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642400162 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 56 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40017-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)