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Artificial intelligence universal biomarker prediction tool

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Abstract

Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease is a great hope for patients.

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References

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Authors and Affiliations

  1. Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan

    Yoshiyasu Takefuji

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  1. Yoshiyasu Takefuji
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YT completed this research and wrote the program and this article.

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Correspondence to Yoshiyasu Takefuji.

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Takefuji, Y. Artificial intelligence universal biomarker prediction tool. J Thromb Thrombolysis 57, 341–343 (2024). https://doi.org/10.1007/s11239-023-02930-7

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  • DOI: https://doi.org/10.1007/s11239-023-02930-7

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