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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 80,25
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 78,86
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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EUR 91,43
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Librería: Majestic Books, Hounslow, Reino Unido
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EUR 77,15
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Añadir al carritopaperback. Condición: New.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 96,20
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Añadir al carritoPaperback. Condición: New. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient's medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 80,17
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EUR 79,82
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 102,96
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Añadir al carritoPaperback. Condición: New. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient's medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
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EUR 89,94
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 98,14
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EUR 112,63
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 120,21
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Añadir al carritoPaperback. Condición: Brand New. 308 pages. 9.18x6.12x9.21 inches. In Stock.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 98,98
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Añadir al carritoPaperback. Condición: New. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient's medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032745169 ISBN 13: 9781032745169
Librería: Rarewaves.com UK, London, Reino Unido
EUR 97,04
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Añadir al carritoPaperback. Condición: New. Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data.Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient's medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process.Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 199,20
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Añadir al carritohardcover. Condición: Very Good.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 226,02
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 227,18
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EUR 241,15
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 246,56
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 233,04
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EUR 256,54
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EUR 254,72
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
EUR 260,10
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EUR 269,10
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