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Prediction in Medicine: Machine Learning Healthcare Guide

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Description

Prediction in Medicine: The Impact of Machine Learning on Healthcare is a comprehensive resource that explores how advanced data analytics and machine learning transform modern healthcare delivery. This guide examines predictive analysis methods using electronic health records and wearable devices to enhance patient care and inform healthcare planning. The book covers critical applications including disease diagnosis, risk assessment, and precision medicine approaches in cardiovascular health and hypertension management. It provides practical insights into interpreting clinical data whilst addressing the ethical considerations healthcare professionals must navigate when implementing machine learning solutions. Published by Bentham Science Publishers, this work bridges the gap between theoretical machine learning concepts and real-world medical applications, offering healthcare professionals, data scientists, and students a thorough understanding of how predictive technologies are reshaping patient outcomes and clinical decision-making.

Key Features

Explores predictive analysis techniques using electronic health records and wearable device data in Prediction in Medicine.

Covers disease diagnosis and risk assessment applications of machine learning in clinical healthcare settings.

Addresses precision medicine advancements specifically in cardiovascular health and hypertension management.

Examines ethical considerations and challenges in interpreting clinical data with machine learning systems.

Provides guidance from Bentham Science Publishers on implementing advanced analytics in healthcare planning.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 October 2024
Listed Since
23 October 2024

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