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Cited by in F6Publishing
For: Miyoshi J, Maeda T, Matsuoka K, Saito D, Miyoshi S, Matsuura M, Okamoto S, Tamura S, Hisamatsu T. Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis. Sci Rep 2021;11:16440. [PMID: 34385588 DOI: 10.1038/s41598-021-96019-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Meng L, Treem W, Heap GA, Chen J. A stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data. Sci Rep 2022;12:17001. [PMID: 36220873 DOI: 10.1038/s41598-022-21389-9] [Reference Citation Analysis]
2 Pinton P. Prediction of vedolizumab treatment outcomes by machine learning. J Biopharm Stat 2022;:1-3. [PMID: 35763418 DOI: 10.1080/10543406.2022.2065501] [Reference Citation Analysis]
3 Chen J, Kisfalvi K, Girard M, Wang S, Lirio R. Response to letter to editor. J Biopharm Stat 2022;:1-2. [PMID: 35605090 DOI: 10.1080/10543406.2022.2065503] [Reference Citation Analysis]