Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands

Luiz Eduardo Wildemberg, Aline Helen da Silva Camacho, Renan Lyra Miranda, Paula Condé Lamparelli Elias, Nina Rosa de Castro Musolino, Debora Nazato, Raquel S. Jallad, Martha Katherine Paniagua Huayllas, José Ítalo Soares Mota, Tobias Skrebsky de Almeida,

The Journal of Clinical Endocrinology & Metabolism · 2021 · 47 citations · 28 references

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Abstract

We developed a ML-based prediction model with high accuracy that has the potential to improve medical management of acromegaly, optimize biochemical control, decrease long-term morbidities and mortality, and reduce health services costs.

References

28