Huili Zhang

TL;DR: The present guideline includes the underlying diseases of syncope in children and adolescents, the diagnostic procedures, methodology and clinical significance of standing test and head-up tilt test, the clinical diagnosis vasovagal syncope, postural Orthostatic tachycardia syndrome, orthostatic hypotension and orthostatics, and the treatment ofsyncope as well as follow-up.

TL;DR: Wang et al. as mentioned in this paper proposed a novel feature transformation based support vector machine plus (SVM+) algorithm for this transfer learning task by introducing feature transformation into the SVM+ framework (named FSVM+).

TL;DR: In this paper , the authors presented a method combining radiomics with deep learning and clinical data for improved differential diagnosis of sclerosing adenosis (SA) and breast cancer (BC).

TL;DR: An ensemble model integrated with DWI-radiomic and clinical features can be utilized to predict renal lesions and deficiency in children with CAKUT.