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Machine Learning and AI for Healthcare : Big Data for Improved Health Outcomes

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Penilaian

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This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.

The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.

You will understand how machine learning can be used to develop health intelligence–with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.

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Ketersediaan

B011658

006.33621068 PAN m 2021

Lib. PSDKU UAB

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

006.33621068 PAN m 2021

Penerbit

Coventry : Apress., 2021

Deskripsi Fisik

xxx, 407 hlm.; 17,8 x 25 cm

Bahasa

English

ISBN/ISSN

978-1-4842-6536-9

Klasifikasi

006.33621068

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Ed. 2

Subjek

Healthcare
Artificial Intelligence
Machine Learning
AI

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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