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Elsevier Big Data Analytics for Healthcare Academic Book

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Description

Explore the integration of artificial intelligence and big data analytics in medical sciences with this comprehensive guide from Elsevier. This book examines how data analytic techniques can be applied to medical data to identify meaningful patterns for disease classification, diagnosis, treatment, and prediction. Readers will learn about the theories, methods, and approaches used to manage and analyze large-scale medical datasets. The text covers essential topics including big medical data mining techniques and the life cycles of data management. It serves as a detailed resource for understanding how medical information systems utilize data to improve healthcare outcomes through advanced predictive modeling and diagnostic accuracy.

Key Features

This Elsevier publication covers big data analytics and medical information systems for healthcare professionals.

The text explores theories and methods for using data analytic techniques to examine complex medical data.

Learn how big medical data mining techniques can be applied to disease classification and diagnosis.

The book provides detailed information on data life cycles, management, and various healthcare applications.

It details approaches for the prediction of diseases and the optimization of medical treatments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 May 2022
Listed Since
16 December 2021

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