Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study

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Works citing "Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study"

Liyan Pan, Guangjian Liu, Xiaojian Mao, Huixian Li, Jiexin Zhang, Huiying Liang, Xiuzhen Li

JMIR Med Inform 2019 (Feb 12); 7(1):e11728

According to Crossref, the following articles are citing this article (DOI 10.2196/11728):

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Payrovnaziri SN, Chen Z, Rengifo-Moreno P, Miller T, Bian J, Chen JH, Liu X, He Z. Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. Journal of the American Medical Informatics Association 2020;
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Yu C, Lin Y, Lin C, Lin S, Wu JL, Chang S. Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach. Journal of Medical Internet Research 2020;22(6):e18585
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Sinha I, Aluthge DP, Chen ES, Sarkar IN, Ahn SH. Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR. Journal of Vascular and Interventional Radiology 2020;31(6):1018
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Tarekegn A, Ricceri F, Costa G, Ferracin E, Giacobini M. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. JMIR Medical Informatics 2020;8(6):e16678
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