LI W, ZHOU Y, LUO Z, TAN M, YIN R und LI J, 2025. XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy. Frontiers in endocrinology. 29 Juli 2025. Vol. 16, , p. 1639639-1639639. DOI 10.3389/fendo.2025.1639639.
Elsevier - Harvard (with titles)Li W, Zhou Y, Luo Z, Tan M, Yin R, Li J, 2025. XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy. Frontiers in endocrinology 16, 1639639-1639639. https://doi.org/10.3389/fendo.2025.1639639
American Psychological Association 7th editionLi W, Zhou Y, Luo Z, Tan M, Yin R, & Li J. (2025). XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy. Frontiers in Endocrinology, 16, 1639639-1639639. https://doi.org/10.3389/fendo.2025.1639639
Springer - Basic (author-date)Li W, Zhou Y, Luo Z, Tan M, Yin R, Li J (2025) XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy.. Frontiers in endocrinology 16:1639639-1639639. https://doi.org/10.3389/fendo.2025.1639639
Juristische Zitierweise (Stüber) (Deutsch)Li W/ Zhou Y/ Luo Z/ Tan M/ Yin R/ Li J, XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy., Frontiers in endocrinology 2025, 1639639-1639639.