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Deep Learning for Healthcare Services (IoT and Big Data Analytics)
This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients.
Deep Learning for Healthcare Services (IoT and Big Data Analytics)
Item #: 127931315

Deep Learning for Healthcare Services (IoT and Big Data Analytics)

Item #: 127931315

€ 58

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This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients.
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What Stands Out

Health Monitoring
Utilizes IoT technologies for real-time health tracking, allowing for timely interventions and improved patient outcomes.
Data Analysis
Employs big data analytics to transform vast healthcare data into actionable insights, enhancing decision-making processes in medical care.
Predictive Analytics
Incorporates deep learning to predict patient health trends, enabling proactive healthcare management and personalized treatment plans.

Product Details

Shop Deep Learning for Healthcare Services (IoT and Big Data Analytics) online at a best price in Ireland. 9815080245
  • This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients. It presents 5 concise chapters showing how these technologies can empower the conventional doctor patient relationship in a more dynamic, transparent, and personalized manner. The key topics covered in this book include:-The Role of Deep Learning in Healthcare Industry: Limitations-Generative Adversarial Networks for Deep Learning in Healthcare-The Role of Blockchain in the Healthcare Sector-Brain Tumor Detection Based on Different Deep Neural NetworksKey features include a thorough, research-based overview of technologies that can assist deep learning models in the healthcare sector, including architecture and industrial scope. The book also presents a robust image processing model for brain tumor screening.Through this book, the editors have attempted to combine numerous compelling views, guidelines and frameworks. Healthcare industry professionals will understand how Deep Learning can improve health care service delivery.
Publisher Bentham Science Publishers
Publication date July 7, 2023
Language English
Print length 127 pages
ISBN-10 9815080245
ISBN-13 978-9815080247
Item Weight 10.9 ounces (309.02 grams)
Dimensions 7 x 0.49 x 10 inches (17.8 x 1.2 x 25.4 cm)
Book 2 of 6 IoT and Big Data Analytics

Who Should Buy?

Suitable For
  • Healthcare Providers

    Hospitals and clinics can enhance patient care and operational efficiency using deep learning for predictive analytics and diagnostics.

  • Data Scientists

    Professionals focusing on healthcare analytics will leverage this product to derive insights from complex datasets and improve models.

  • Technology Developers

    Developers building healthcare applications can integrate deep learning capabilities to facilitate IoT-driven health solutions and interoperability.

Not Suitable For
  • Small Practices

    Small healthcare providers may lack the resources to implement complex deep learning solutions effectively in their operations.

  • Non-Technical Users

    Individuals without a technical background may struggle to utilize advanced analytics features and understand deep learning applications.

  • Limited Budget

    Organizations with tight budgets may find investment in deep learning solutions and required infrastructure impractical and unsustainable.

Product Description

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Customer Questions & Answers

  • Question: What key technologies are discussed in the book?

    Answer: The book discusses deep learning, IoT, big data analytics, and blockchain technologies in healthcare.
  • Question: Who can benefit from reading this book?

    Answer: Healthcare industry professionals looking to enhance service delivery and patient care can benefit the most.
  • Question: What is the main focus of the book?

    Answer: The main focus is on how deep learning can revolutionize the doctor-patient relationship and improve healthcare services.

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