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A First Approach to the Generation of Linguistic Summaries from Glucose Sensors Using GPT-4

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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023) (UCAmI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 842))

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Abstract

The use of activity monitoring sensors on users with some type of disease or dependence is very useful for health technicians, for family members or for the user himself. The knowledge of these values in real time allows alerting of a possible crisis or starting correcting actions to prevent a serious health problem. For this reason, many proposals have been made to summarize in words the huge amount of measures taken by these sensors in order to highlight only what is really important for the end user, family or medical staff. The emergence of new text generation tools based on Artificial Intelligence (AI), such as the latest GPT-4, is having a major impact in the healthcare field. In this article we analyze how the latest version of ChatGPT, allows the generation of linguistic summaries in natural language from glucose sensor measurements. We also learn how to ask the right questions to obtain the type of output adapted to the user, whether or not it is necessary to perform some kind of preprocessing on the data to be analyzed and what are the strengths and drawbacks of this technology.

This work has been partially supported by the Government of Spain through the projects RTI2018-098979-A-I00 MCIN/ AEI/10.13039/501100011033/, ERDF “A way to make Europe”, B-TIC-744-UGR20 ADIM: Accesibilidad de Datos para Investigación Médica of the Junta de Andalucía and the University of Jaén under Action 1 with reference EI_TIC1_2021.

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Notes

  1. 1.

    Although GPT-4 allows the analysis of figures, this is still a beta feature and therefore has not been used in our experimentation.

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Authors and Affiliations

  1. Department of Computer Science, University of Jaen, Jaen, Spain

    Carmen Martinez-Cruz, Juan F. Gaitan Guerrero, Jose L. Lopez Ruiz, Antonio J. Rueda & M. Espinilla

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  1. Carmen Martinez-Cruz
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  2. Juan F. Gaitan Guerrero
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  3. Jose L. Lopez Ruiz
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  4. Antonio J. Rueda
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  5. M. Espinilla
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Corresponding author

Correspondence to Carmen Martinez-Cruz .

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Editors and Affiliations

  1. Ciudad Real, Spain

    José Bravo

  2. Mérida, Yucatán, Mexico

    Gabriel Urzáiz

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Martinez-Cruz, C., Guerrero, J.F.G., Ruiz, J.L.L., Rueda, A.J., Espinilla, M. (2023). A First Approach to the Generation of Linguistic Summaries from Glucose Sensors Using GPT-4. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-031-48642-5_4

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