Computational Learning Approaches to Data Analytics in Biomedical Applications - Image 1

£101.99

Academic Press Computational Learning Approaches to Data Analytics in Biomedical Applications

Name: Computational Learning Approaches to Data Analytics in Biomedical Applications
Brand: Academic Press
Price: 101.99 GBP
Availability: InStock

Biomedical Engineering

It has never been this cheap. We have no record of a lower price.

£102 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £102 (1 days, 100.0%)

Price range: £102 - £102

Price levels: 1 different prices over 1 days

Description

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained. Includes an overview of data analytics in biomedical applications and current challenges Updates on the latest research in supervised learning algorithms and applications, clustering algorithms and cluster validation indices Provides complete coverage of computational and statistical analysis tools for biomedical data analysis Presents hands-on training on the use of Python libraries, MATLAB® tools, WEKA, SAP-HANA and R/Bioconductor Review Distinguishes theories and applications in computational learning as they relate to translational medicine About the Author Dr. Wunsch is the Mary K. Finley Missouri Distinguished Professor, Missouri University of Science and Technology (Missouri S&T). He received his Ph.D. in Electrical Engineering from the University of Washington, Seattle. His research interests include clustering, adaptive resonance and reinforcement learning architectures (hardware and applications), bioinformatics. He is the author of nine books and over a dozen book chapters, including Neural Networks in Micromechanics from Springer and Clustering from Wiley IEEE Press. Dr. Obafemi-Ajayi is an Assistant Professor of Electrical Engineering at Missouri State University (MSU) in the Engineering Program, a joint program with Missouri S&T. She completed a post-doctoral fellowship with the Applied Computational Intelligence Lab at S&T May 2016, working on clustering and genomic data analysis related to Autism. She obtained her PhD in Computer Science from Illinois Institute of Technology. Her research interests are machine learning, bioinformatics, and data mining. Dr. Olbricht is an Assistant Professor in the Department of Mathematics and Statistics at Missouri S&T. She earned her Ph.D. in Statistics from Purdue University. Her research interests include Markov models, regression analysis, statistical genomics, and bioinformatics. Khalid Al-Jabery is currently a PhD candidate and research assistant at Missouri S&T. He obtained his BS and M.Sc. in Computer Engineering at the University of Basrah in Iraq in 2005 and 2009 respectively. He has more than 6 years of experience as an IT engineer. He worked for ExxonMobil, South Oil Company-Iraq, and International Organization of Migration (IOM). He has gained hands-on experience on applying a variety of computational tools to machine learning projects on power optimization, smart grid, and medical datasets.

Product Specifications

Brand: Academic Press
Format: hardcover
ASIN: 0128144823
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Allied Health Professions > Biomedical Engineering
Domain: Amazon UK
Release Date: 24 November 2019
Listed Since: 29 August 2018

Barcode

No barcode data available

Academic Press Computational Learning Approaches to Data Analytics in Biomedical Applications

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Computational Intelligence and Its Applications in Healthcare

Handbook of Research on Deep Learning Innovations and Trends (Advances in Computational Intelligence and Robotics)

Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection

Middle East Business Environment

Machine Learning and Information Processing: Proceedings of ICMLIP 2019: 1101 (Advances in Intelligent Systems and Computing, 1101)

Cognitive Engineering for Next Generation Computing: A Practical Analytical Approach (Next Generation Computing and Communication Engineering)

Swarm Intelligence for Resource Management in Internet of Things (Intelligent Data-Centric Systems)

ICT Analysis and Applications: Proceedings of ICT4SD 2020, Volume 2: 154 (Lecture Notes in Networks and Systems, 154)

Handbook of Research on Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies

Applications of Artificial Neural Networks for Nonlinear Data (Advances in Computational Intelligence and Robotics)

Soft-Computing-Based Nonlinear Control Systems Design (Advances in Computer and Electrical Engineering)

Communication and Intelligent Systems: Proceedings of ICCIS 2019: 120 (Lecture Notes in Networks and Systems, 120)

Medical Technology and Environmental Health: Proceedings of the Medicine and Global Health Research Symposium (MoRes 2019), 22-23 October 2019, Bandung, Indonesia

Lecture Notes in Computational Intelligence and Decision Making: 2021 International Scientific Conference "Intellectual Systems of Decision-making and ... and Communications Technologies, 77)

Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 1: 1041 (Advances in Intelligent Systems and Computing, 1041)

Smart Computing Applications in Crowdfunding

Medical Technology and Environmental Health: Proceedings of the Medicine and Global Health Research Symposium (MoRes 2019), 22-23 October 2019, Bandung, Indonesia

Role of IoT in Green Energy Systems

Role of IoT in Green Energy Systems (Advances in Environmental Engineering and Green Technologies (AEEGT))

A Statistical Guide for the Ethically Perplexed

Recent Advancements in Graph Theory (Mathematical Engineering, Manufacturing, and Management Sciences)

Fuzzy Expert Systems and Applications in Agricultural Diagnosis

Recent Advancements in Bioremediation of Metal Contaminants (Advances in Environmental Engineering and Green Technologies)

Deep Learning and Parallel Computing Environment for Bioengineering Systems