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Cited by in F6Publishing
For: Wang H, Fan T, Yang B, Lin Q, Li W, Yang M. Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting the Risk of Surgical Site Infection Following Minimally Invasive Transforaminal Lumbar Interbody Fusion. Front Med (Lausanne) 2021;8:771608. [PMID: 34988091 DOI: 10.3389/fmed.2021.771608] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Deng X, Li T, Mo L, Wang F, Ji J, He X, Mohamud BH, Pradhan S, Cheng J. Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis. Front Oncol 2022;12:985940. [DOI: 10.3389/fonc.2022.985940] [Reference Citation Analysis]
2 Wang P, Cheng S, Li Y, Liu L, Liu J, Zhao Q, Luo S. Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms. Front Public Health 2022;10:910479. [DOI: 10.3389/fpubh.2022.910479] [Reference Citation Analysis]
3 Li W, Liu W, Hussain Memon F, Wang B, Xu C, Dong S, Wang H, Hu Z, Quan X, Deng Y, Liu Q, Su S, Yin C, Mumtaz S. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning. Computational Intelligence and Neuroscience 2022;2022:1-10. [DOI: 10.1155/2022/2220527] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]