£124.19

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£124 today · previous high £124 · all-time low £120

Elsevier Signal Processing Machine Learning for Cardiovascular Data

Amazon

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£124.19 £119.79 £120.75 £121.71 £122.67 £123.63 £124.59 01 August 2026 17 August 2026 02 September 2026 18 September 2026 04 October 2026
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Most common price: £120 (43 days, 66.2%)

Price range: £120 - £124

Price levels: 3 different prices over 65 days

Description

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing presents cutting-edge advances in machine learning paired with signal processing methods for analysing cardiovascular data. This comprehensive resource covers supervised learning, unsupervised learning, semi-supervised learning, and meta-learning approaches integrated with multivariate data analysis, time-frequency analysis, multiscale analysis, and advanced feature extraction techniques. The book focuses on practical applications for detecting cardiovascular diseases and heart valve disorders using modern computational methods. Published by Academic Press, this volume bridges the gap between theoretical machine learning concepts and real-world cardiovascular data analysis, providing researchers, engineers, and healthcare professionals with the tools needed to develop robust diagnostic systems and improve patient outcomes through intelligent signal processing.

Key Features

Covers supervised, unsupervised, semi-supervised, and meta-learning methods for cardiovascular data analysis and disease detection.

Integrates multivariate data analysis and time-frequency analysis techniques with machine learning for comprehensive signal processing.

Features multiscale analysis and advanced feature extraction methods designed specifically for cardiovascular applications.

Provides practical approaches for detecting cardiovascular diseases and identifying heart valve disorders using data-driven techniques.

Published by Academic Press with recent advances in machine learning and signal processing combined for medical applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 June 2024
Listed Since
20 October 2023

Barcode

No barcode data available

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