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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Institution of Engineering and Technology,
2022
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 001 | KNOVEL_on1379220956 | ||
| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 230517t20222022enka ob 001 0 eng d | ||
| 040 | |a YDX |b eng |e rda |c YDX |d UAB |d ESU |d OCLCF |d OCLCO | ||
| 020 | |a 9781839533365 |q (PDF) | ||
| 020 | |a 1839533366 |q (PDF) | ||
| 020 | |z 1839533358 |q (hardback) | ||
| 020 | |z 9781839533358 |q (hardback) | ||
| 035 | |a (OCoLC)1379220956 | ||
| 050 | 4 | |a R859.7.A78 | |
| 049 | |a UAMI | ||
| 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. | ||
| 588 | 0 | |a Online resource; title from online title page (IET Digital Library, viewed May 17, 2023). | |
| 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 ACADEMIC - General Engineering & Project Administration | ||
| 590 | |a Knovel |b ACADEMIC - Software Engineering | ||
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 0 | |a Public health |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Intelligence artificielle en médecine. | |
| 650 | 6 | |a Santé publique |x Informatique. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Artificial intelligence |x Medical applications |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Public health |x Data processing |2 fast | |
| 700 | 1 | |a Hernandez-Silveira, Miguel, |d 1970- |e editor. | |
| 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://appknovel.uam.elogim.com/kn/resources/kpAMLDH002/toc |z Texto completo |
| 938 | |a YBP Library Services |b YANK |n 305375965 | ||
| 994 | |a 92 |b IZTAP | ||