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Deep Learning for Healthcare Services (IoT and Big Data Analytics)
HNL 1653
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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
Detalles de producto
- 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?
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Healthcare Providers
Hospitals and clinics can enhance patient care and operational efficiency using deep learning for predictive analytics and diagnostics.
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Data Scientists
Professionals focusing on healthcare analytics will leverage this product to derive insights from complex datasets and improve models.
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Technology Developers
Developers building healthcare applications can integrate deep learning capabilities to facilitate IoT-driven health solutions and interoperability.
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Small Practices
Small healthcare providers may lack the resources to implement complex deep learning solutions effectively in their operations.
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Non-Technical Users
Individuals without a technical background may struggle to utilize advanced analytics features and understand deep learning applications.
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Limited Budget
Organizations with tight budgets may find investment in deep learning solutions and required infrastructure impractical and unsustainable.
DESCRIPCIÓN DEL PRODUCTO
Preguntas y respuestas de los clientes
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Pregunta:
What key technologies are discussed in the book?
Respuesta: The book discusses deep learning, IoT, big data analytics, and blockchain technologies in healthcare. -
Pregunta:
Who can benefit from reading this book?
Respuesta: Healthcare industry professionals looking to enhance service delivery and patient care can benefit the most. -
Pregunta:
What is the main focus of the book?
Respuesta: The main focus is on how deep learning can revolutionize the doctor-patient relationship and improve healthcare services.
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HNL 1653
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
características y beneficios
- Explore deep learning applications in healthcare.
- Learn about smart solutions for terminally ill patients.
- Understand the transformative role of IoT and big data.
- Discover insights on blockchain's impact in healthcare.
- Gain knowledge from a robust image processing model for brain tumor screening.
- Empower your practice with guidelines for improved patient relationships.