Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning in Healthcare Informatics de Sumeet Dua

Machine Learning in Healthcare Informatics: Intelligent Systems Reference Library, cartea 56

Editat de Sumeet Dua, U. Rajendra Acharya, Prerna Dua
en Limba Engleză Hardback – 27 dec 2013
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 63482 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 3 sep 2016 63482 lei  6-8 săpt.
Hardback (1) 64099 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 27 dec 2013 64099 lei  6-8 săpt.

Din seria Intelligent Systems Reference Library

Preț: 64099 lei

Preț vechi: 80124 lei
-20% Nou

Puncte Express: 961
Preț estimativ în valută:
12267€ • 12742$ • 10190£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642400162
ISBN-10: 3642400167
Pagini: 410
Ilustrații: XII, 332 p. 119 illus., 50 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.66 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics First reference in the interdisciplinary area of healthcare informatics and machine learning Written by leading experts in the field Includes supplementary material: sn.pub/extras