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Springer Deep Learning for Biomedical and Health Informatics

Amazon

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Description

This Springer publication explores state-of-the-art approaches for deep-learning-based biomedical and health-related applications. As healthcare informatics moves toward more efficient data analysis, this book addresses the need to manage abundant biomedical and healthcare data. It covers the analysis of patient data, electronic health records (EHRs), and lifestyle problems to improve treatment quality and patient life. By focusing on recent advances in representation learning algorithms, this volume provides essential insights for professionals looking to move beyond traditional domain expert models toward advanced automated learning techniques in the healthcare sector.

Key Features

This Springer book presents state-of-the-art deep-learning approaches for biomedical and health-related applications.

The content focuses on analyzing abundant healthcare data including patient records and electronic health records (EHRs).

It provides technical insights into using representation learning algorithms for modern healthcare informatics.

The text addresses lifestyle problems and the efficient analysis of diverse biomedical data sets.

This volume belongs to the Studies in Big Data series, specifically number 68.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 November 2020
Listed Since
29 October 2020

Barcode

No barcode data available

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