Applications of machine learning in digital healthcare

Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the dev...

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Bibliographic Details
Other Authors: Hernandez-Silveira, Miguel, 1970- (Editor), Ang, Su-Shin, (Editor)
Format: eBook
Language: English
Published: London, United Kingdom : Institution of Engineering and Technology, 2022
Subjects:
Artificial intelligence > Medical applications.
Public health > Data processing.
Machine learning.
elektronické knihy
electronic books
ISBN: 1839533366
9781839533365
1839533358
9781839533358
Physical Description: 1 online resource (xi, 400 pages) : illustrations

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Table of contents

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040 |a YDX  |b eng  |e rda  |c YDX  |d UAB  |d ESU  |d OCLCF  |d OCLCO  |d OCLCL  |d OCLCQ  |d N$T 
020 |a 1839533366  |q (PDF) 
020 |a 9781839533365  |q (electronic bk.) 
020 |z 1839533358  |q (hardback) 
020 |z 9781839533358  |q (hardback) 
035 |a (OCoLC)1379220956 
245 0 0 |a Applications of machine learning in digital healthcare /  |c edited by Miguel Hernandez Silveira and Su-Shin Ang. 
264 1 |a London, United Kingdom :  |b Institution of Engineering and Technology,  |c 2022 
264 4 |c ©2022 
300 |a 1 online resource (xi, 400 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use. This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis. Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance. Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Artificial intelligence  |x Medical applications. 
650 0 |a Public health  |x Data processing. 
650 0 |a Machine learning. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Hernandez-Silveira, Miguel,  |d 1970-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjGgkF4QfHhdHJQMWmQJfy 
700 1 |a Ang, Su-Shin,  |e editor. 
776 0 8 |i Print version:  |t Applications of machine learning in digital healthcare.  |d London : Institution of Engineering and Technology, 2022  |z 9781839533358  |w (OCoLC)1369601390 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAMLDH002/applications-of-machine?kpromoter=marc  |y Full text 

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