SUPERVISED MACHINE LEARNING CLASSIFICATION OF PSYCHOSIS BIOTYPES BASED ON BRAIN STRUCTURE: FINDINGS FROM THE BIPOLAR-SCHIZOPHRENIA NETWORK FOR INTERMEDIATE PHENOTYPES (B-SNIP)

Abstract Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology.This has led to a growing interest in using brain-based biomarkers to capture biologically-informed psychosis constructs.Building upon our prior work on the B-SNIP Psychosis Biotypes, we aimed to examine whether structura

BackgroundType 1 diabetes (T1D) is a chronic autoimmune disease in which a deficiency in insulin production impairs the glucose homeostasis of the body.Continuous subcutaneous infusion of insulin is a commonly used treatment method.Artificial pancreas systems (APS) use continuous glucose level monitoring and continuous subcutaneous infusion of insu

The government has a central and strategic role in economic development based on democratic principles aimed at creating a just and prosperous society as mandated by the Constitution.This paper examines the arrangement of land rights (LR) for investment Activities in Indonesia in the perspective of land Act.This study uses a doctrinal juridical app

Detection of elongated objects in the visual scene can be improved by additional elements flanking the object on the collinear axis.This is the collinear context effect (CE) and is represented in the long-range horizontal connection plexus in V1.The aim of this study was to test whether the visual collinear motion can improve the CE.In the three ex