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Leveraging Natural Language Processing for mHealth Development: A Component-Based Approach Using Nursing Taxonomies

IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Leveraging Natural Language Processing for mHealth Development: A Component-Based Approach Using Nursing Taxonomies

William Niemiec, Anderson Rocha Tavares, Érika Fernandes Cota

Published in
IEEE International Symposium on Computer-Based Medical Systems (CBMS)
Year
2025
DOI
10.1109/CBMS65348.2025.00084

Abstract

This paper proposes the definition of core components of the healthcare domain that can be used as basic building blocks for the development of mHealth applications. Using Natural Language Processing techniques, we systematically analyze all health interventions defined in the Nursing Interventions Classification taxonomy to define a comprehensive set of basic components. Our results show that it is feasible to define a finite set of core components from the nursing domain language that can be further composed into health care plans thus establishing a foundation for developing mHealth solutions with reduced technical effort.

How to cite

William Niemiec, Anderson Rocha Tavares, Érika Fernandes Cota. Leveraging Natural Language Processing for mHealth Development: A Component-Based Approach Using Nursing Taxonomies. In: IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2025. DOI: https://doi.org/10.1109/CBMS65348.2025.00084

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