16. The computer-implemented method of claim 1 , further comprising: extracting anatomical features from sMRI data obtained from the patient during both a post-injury subacute phase and a subsequent evaluation phase; extracting functional features from the rs-fMRI data obtained from the patient during both the post-injury subacute phase and the subsequent evaluation phase; extracting connectivity features from the rs-fMRI data obtained from the patient during both the post-injury subacute phase and the subsequent evaluation phase; and predicting a recovery trajectory for the patient based on the anatomical features, the functional features, and the connectivity features using the trained classifier.
16. The computer-implemented method of claim 1 , further comprising: extracting anatomical features from sMRI data obtained from the patient during both a post-injury subacute phase and a subsequent evaluation phase; extracting functional features from the rs-fMRI data obtained from the patient during both the post-injury subacute phase and the subsequent evaluation phase; extracting connectivity features from the rs-fMRI data obtained from the patient during both the post-injury subacute phase and the subsequent evaluation phase; and predicting a recovery trajectory for the patient based on the anatomical features, the functional features, and the connectivity features using the trained classifier. 17. The computer-implemented method of claim 16 , wherein the predicting is further based on phenotypic features of the patient, genetic features of the patient, medical history of the patient, or combinations thereof.