£116.68

Springer Machine Learning with Health Care Perspective Book

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Description

Explore the intersection of technology and medicine with Machine Learning with Health Care Perspective. Published by Springer as part of the Learning and Analytics in Intelligent Systems series, this book provides a comprehensive look at machine learning paradigms specifically for healthcare informatics. This text addresses the challenges of multi-disciplinary and multi-institutional research. It offers techniques to represent and enhance data within the complex healthcare landscape. Readers can learn how to apply machine learning models within organizational structures and gain insights into evaluating the efficacy, suitability, and efficiency of these applications. Whether you are researching healthcare informatics or looking to implement intelligent systems in a clinical setting, this volume covers the depth and breadth required to understand modern machine learning applications. It serves as a valuable resource for understanding how to navigate the diversity and complexity of data in the medical field.

Key Features

Covers emerging machine learning paradigms specifically designed for the field of healthcare informatics.

Provides techniques to represent and empower multi-disciplinary research across different institutions.

Includes methods for applying machine learning models within professional organizational structures.

Offers guidance on how to evaluate the efficiency and suitability of healthcare applications.

Explores ways to manage the complexity and diversity found in multi-institutional medical data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 March 2020
Listed Since
12 January 2020

Barcode

No barcode data available

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