Overview

How can nursing knowledge become truly interoperable, intelligent, and compassionate in the digital age? This pioneering book answers that question by blending nursing science with computational modelling. Computational Modelling of Standardized Nursing Language (SNL) Interoperability using R offers a *comprehensive guide to transforming nursing narratives and standardized terminologies into intelligent, interoperable systems that empower clinical decision-making. With practical examples, theoretical grounding, and R-based applications, this book covers: The foundations of nursing languages and informatics Data mining and natural language processing for nursing records Ontology mapping and probabilistic models for interoperability Emotion and sentiment detection in patient-centered narratives Designing the next generation of clinical decision support systems Accessible yet deeply scholarly, this book is ideal for nursing researchers, data scientists, health informatics professionals, and graduate students seeking to push the boundaries of healthcare innovation. At its core, it offers a vision of healthcare that is data-driven yet empathetic, precise yet human-centered-a future where machines and nurses collaborate to enhance not only clinical outcomes but also patient trust and well-being.

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