[1] American Psychiatric Association. Diagnostic criteria from DSM-IV-TR[M]. American Psychiatric Pub, 2000.[2] Frances A J, Widiger T. Psychiatric diagnosis: Lessons from the DSM-IV past and cautions for the DSM-5 future[J]. Annual Review of Clinical Psychology, 2012, 8: 109–130.[3] Van Dam N T, et al. Data-driven phenotypic categorization for neurobiological analyses: Beyond DSM-5 labels[J]. Biological Psychiatry, 2017, 81(6): 484–494.[4] Poldrack R A, et al. A phenome-wide examination of neural and cognitive function[J]. Scientific Data, 2016, 3(1): 1–12.[5] Breiman L. Random forests[J]. Machine Learning, 2001, 45(1): 5–32.[6] Qi Y. Random forest for bioinformatics[M]//Ensemble Machine Learning. Springer, 2012: 307–323.[7] Liaw A, Wiener M. Classification and regression by randomForest[J]. R News, 2002, 2(3): 18–22.[8] Conn D, et al. Fuzzy forests: Extending random forests for correlated, high-dimensional data[J]. 2015.[9] Karalunas S L, et al. Subtyping attention-deficit/hyperactivity disorder using temperament dimensions: Toward biologically based nosologic criteria[J]. JAMA Psychiatry,2014, 71(9): 1015–1024.[10] Patton J H, Stanford M S, Barratt E S. Factor structure of the Barratt Impulsiveness Scale[J]. Journal of Clinical Psychology, 1995, 51(6): 768–774.[11] Krueger R F, et al. Externalizing psychopathology in adulthood: A dimensional-spectrum conceptualization and its implications for DSM-V[J]. Journal of Abnormal Psychology, 2005, 114(4): 537.