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Natural Language Processing for Healthcare - (Advances in Ubiquitous Sensing Applications for Healthcare) (Paperback) - 1 of 1

Natural Language Processing for Healthcare - (Advances in Ubiquitous Sensing Applications for Healthcare) (Paperback)

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Highlights

  • Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical application in healthcare, offering an accessible yet comprehensive guide tailored to the unique challenges of medical environments.
  • Author(s): Laxmi Shaw & Shubham Mahajan & Kamal Upreti
  • 400 Pages
  • Science, Biotechnology
  • Series Name: Advances in Ubiquitous Sensing Applications for Healthcare

Description



Book Synopsis



Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical application in healthcare, offering an accessible yet comprehensive guide tailored to the unique challenges of medical environments. It highlights how NLP technologies are revolutionizing patient care, medical documentation, and clinical decision-making, while emphasizing ethical, legal, and interoperability considerations. Structured into four sections, the book begins by laying foundational knowledge in NLP and healthcare data, covering crucial concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, machine learning models including BioBERT and ClinicalBERT, and the emerging impact of large language models like GPT. The applications section explores real-world implementations of intelligent assistants, such as virtual health chatbots, clinical documentation tools, conversational AI for patient engagement, and voice recognition integrated into electronic health records. Technical chapters provide insights into system architectures, evaluation metrics, data privacy, security, and interoperability standards like FHIR. The final section looks ahead to future directions including multilingual NLP, federated learning for privacy preservation, and the evolving landscape of AI-driven healthcare assistants. This book is an indispensable resource for a broad audience. Healthcare professionals and clinicians will find practical insights into streamlining patient care and diagnostics. Biomedical researchers and data scientists can deepen their understanding of NLP methods tailored to medical data. Students, educators, technology developers, and healthcare administrators alike will benefit from the book's balanced coverage of theory, implementation, and regulation, empowering them to innovate and responsibly deploy intelligent assistants that enhance healthcare delivery worldwide.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W)
Weight: .99 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 400
Genre: Science
Sub-Genre: Biotechnology
Series Title: Advances in Ubiquitous Sensing Applications for Healthcare
Publisher: Academic Press
Format: Paperback
Author: Laxmi Shaw & Shubham Mahajan & Kamal Upreti
Language: English
Street Date: March 2, 2026
TCIN: 1007867048
UPC: 9780443452529
Item Number (DPCI): 247-43-5212
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 0.99 pounds
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