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Cited by in F6Publishing
For: Colombo F, Calesella F, Mazza MG, Melloni EMT, Morelli MJ, Scotti GM, Benedetti F, Bollettini I, Vai B. Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis. Neurosci Biobehav Rev 2022;:104552. [PMID: 35120970 DOI: 10.1016/j.neubiorev.2022.104552] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Sirignano L, Streit F, Frank J, Zillich L, Witt SH, Rietschel M, Foo JC. Depression and bipolar disorder subtypes differ in their genetic correlations with biological rhythms. Sci Rep 2022;12:15740. [PMID: 36131119 DOI: 10.1038/s41598-022-19720-5] [Reference Citation Analysis]
2 Liu Y, Chen K, Luo Y, Wu J, Xiang Q, Peng L, Zhang J, Zhao W, Li M, Zhou X. Distinguish bipolar and major depressive disorder in adolescents based on multimodal neuroimaging: Results from the Adolescent Brain Cognitive Development study®. DIGITAL HEALTH 2022;8:205520762211237. [DOI: 10.1177/20552076221123705] [Reference Citation Analysis]