Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning

Figure 1 Core enhancing factors, risks, challenges, and future directions in medical machine learning. ALEF: Amplitude of low-frequency fluctuations; DFNC: Dynamic functional network connectivity; DT: Decision tree; FC: Functional connectivity; LASSO: Least absolute shrinkage and selection operator; MDD: Major depressive disorder; ReHo: Regional homogeneity; RF: Random forest; Rs-fMRI: Resting-state functional magnetic resonance imaging; SVM: Support vector machine; XGBoost: Extreme Gradient Boosting.