Natural Language Processing for Healthcare by Laxmi Shaw (.PDF)
File Size: 42.8 MB
Natural Language Processing for Healthcare: The Rise of Intelligent Assistants by Laxmi Shaw, Shubham Mahajan, Kamal Upreti
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Overview: Natural Language Processing for Healthcare: The Rise of Intelligent Assistants addresses the critical gap between cutting-edge AI research and its practical applications in healthcare, offering an accessible 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 concepts such as tokenization, medical ontologies like UMLS and SNOMED CT, Machine Learning models, including BioBERT and ClinicalBERT, and emerging impacts 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. In this work, various classification approaches are compared based on various measures discussed below. Python language was used for implementation. Machine learning tech niques play a significant role in decision-making process, especially in the healthcare domain. Techniques such as Support Vector Machine (SVM), Artificial Neural Networks (ANN) and Naive Bayes are commonly applied. In this study, six classification algorithms-SVM, Random Forest, K Nearest Neighbors.
Genre: Non-Fiction > Tech & Devices
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