Jixuan Leng, Junfei Liu, Galen Cheng, Haohan Wang, Scott Quarrier, Jiebo Luo, Rajat Jain
Development of UroSAM: A Machine Learning Model to Automatically Identify Kidney Stone Composition from Endoscopic Video
Journal of endourology
paper presents comprehensive overview national sleep research resource nsrr national heart lung blood institutesupported repository developed share data clinical studies focused evaluation sleep disorders nsrr addresses challenges presented heterogeneity sleeprelated data leveraging innovative strategies optimize quality accessibility available datasets provides authorized users secure centralized access large quantity sleeprelated data including polysomnography actigraphy demographics patientreported outcomes data developing nsrr implemented data processing protocols ensure deidentification compliance fair findable accessible interoperable reusable principles heterogeneity stemming intrinsic variation collection annotation definition interpretation data proven one primary obstacles efficient sharing datasets approaches employed nsrr address heterogeneity include 1 development standardized sleep terminologies utilizing compositional coding scheme 2 specification comprehensive metadata 3 harmonization commonly used variables 3 computational tools developed standardize signal processing also leveraged external resources engineer domainspecific approach data harmonization describe scope data within nsrr role promoting sleep circadian research data sharing harmonization large datasets analytical tools finally identify opportunities approaches field sleep medicine support data standardization sharing