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General deep learning model for detecting diabetic retinopathy.
BMC Bioinformatics
November 2021
Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, 106, Taiwan, ROC.
Background: Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal ophthalmoscopy, and they can improve diagnostic efficiency with the assistance of deep learning to select treatments and support personnel workflow. Conventionally, most deep learning methods for DR diagnosis categorize retinal ophthalmoscopy images into training and validation data sets according to the 80/20 rule, and they use the synthetic minority oversampling technique (SMOTE) in data processing (e.g.
View Article and Find Full Text PDFDiagnosis Codes and Case Definitions for Neonatal Abstinence Syndrome.
Pediatrics
September 2020
Birth Defects Surveillance Program and.
Background And Objectives: The increase in neonatal abstinence syndrome (NAS) has underscored the need for NAS surveillance programs, but many rely on passive surveillance using unverified diagnosis codes. Few studies have evaluated the validity of these codes, and no study has assessed the recently proposed Council of State and Territorial Epidemiologists (CSTE) case definition. The Florida Birth Defects Registry investigated the accuracy of codes related to NAS (P96.
View Article and Find Full Text PDFSpectral Distortions of Infrared Luminescent Nanothermometers Compromise Their Reliability.
ACS Nano
April 2020
Fluorescence Imaging Group, Departamento de Fı́sica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid 28049, Spain.
Luminescence nanothermometry has emerged over the past decade as an exciting field of research due to its potential applications where conventional methods have demonstrated to be ineffective. Preclinical research has been one of the areas that have benefited the most from the innovations proposed in the field. Nevertheless, certain questions concerning the reliability of the technique under conditions have been continuously overlooked by most of the scientific community.
View Article and Find Full Text PDFMisrepresentation of scholarly works by integrated plastic surgery applicants.
Plast Reconstr Surg
September 2012
Chicago, Ill.; and Ann Arbor, Mich. From the Department of Emergency Medicine, University of Illinois at Chicago, and the Section of Plastic and Reconstructive Surgery, Department of Surgery, and the Office of Enabling Technologies, University of Michigan.
Background: Many authors report alarming rates of false or questionable claims of scholarly achievement among residency applicants. The authors sought to further elucidate the authenticity of such inappropriate declarations by simultaneously conducting an investigation of a selected pool of integrated plastic surgery applicants. The authors' hypothesis is that the percentage of citations claimed by many authors to be false was erroneously high because of failure of an adequate search or prolonged time from submission to publication for many journals.
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