ObjectiveTo evaluate the diagnostic value of interferon-gamma release assay (TB-IGRA) for tuberculosis in the Tibetan. MethodsFrom January 2014 to December 2014, suspected Tibetan tuberculosis patients were enrolled from AVIC 363 Hospital and underwent TB-IGRA test. All patients were also underwent smear test for Mycobacteria. The diagnostic value of TB-IGRA test for Tibetan TB patients was analyzed. ResultsA total of 77 suspected Tibetan tuberculosis patients were included. According to the diagnostic criteria, of the 77 suspected patients, 50 were diagnosed as TB patients, and 27 were diagnosed as not-TB patients. The sensitivity and specificity of TB-IGRA test was 86% and 81.5%. While the sensitivity and specificity of smear test were 22% and 100%, respectively. ConclusionThe TB-IGRA test is superior to smear test, and is the fast and sensitivity test for diagnosing Tibetan TB patients.
As a common disease in nervous system, epilepsy is possessed of characteristics of high incidence, suddenness and recurrent seizures. Timely prediction with corresponding rescues and treatments can be regarded as effective countermeasure to epilepsy emergencies, while most accidental injuries can thus be avoided. Currently, how to use electroencephalogram (EEG) signals to predict seizure is becoming a highlight topic in epilepsy researches. In spite of significant progress that made, more efforts are still to be made before clinical applications. This paper reviews past epilepsy studies, including research records and critical technologies. Contributions of machine learning (ML) and deep learning (DL) on seizure predictions have been emphasized. Since feature selection and model generalization limit prediction ratings of conventional ML measures, DL based seizure predictions predominate future epilepsy studies. Consequently, more exploration may be vitally important for promoting clinical applications of epileptic seizure prediction.