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OBJECTIVE To investigate the association between fish and seafood intake and new-onset type 2 diabetes. RESEARCH DESIGN AND METHODS This was a population-based prospective cohort (European Prospective Investigation of Cancer [EPIC]-Norfolk) study of men and women aged 40-79 years at baseline (1993-1997). Habitual fish and seafood intake (white fish, oily(More)
BACKGROUND Epidemiologic evidence of an association between fish intake and type 2 diabetes (T2D) is inconsistent and unresolved. OBJECTIVE The objective was to examine the association between total and type of fish intake and T2D in 8 European countries. DESIGN This was a case-cohort study, nested within the European Prospective Investigation into(More)
OBJECTIVE The evidence on the association between fish consumption, dietary long-chain n-3 fatty acids, and risk of type 2 diabetes is inconsistent. We therefore performed a systematic review and meta-analysis of the available prospective evidence. RESEARCH DESIGN AND METHODS Studies were identified by searching the PubMed and EMBASE databases through 15(More)
A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000). We report here on the data obtained for the quality-control materials used with the first 860 batches, and the validation process used. The method consists of two(More)
BACKGROUND Stable-isotope ratios of carbon (¹³C/¹²C, expressed as δ¹³C) and nitrogen (¹⁵N/¹⁴N, or δ¹⁵N) have been proposed as potential nutritional biomarkers to distinguish between meat, fish, and plant-based foods. OBJECTIVE The objective was to investigate dietary correlates of δ¹³C and δ¹⁵N and examine the association of these biomarkers with incident(More)
This paper describes the approach used by ezDI at the SemEval 2015 Task-14: " Analysis of Clinical Text ". The task was divided into two embedded tasks. Task-1 required determining disorder boundaries (including the discontiguous ones) from a given set of clinical notes and normalizing the disorders by assigning a unique CUI from the UMLS/SNOMEDCT 1. Task-2(More)
This paper describes the system used in Task-7 (Analysis of Clinical Text) of SemEval-2014 for detecting disorder mentions and associating them with their related CUI of UMLS 1. For Task-A, a CRF based sequencing algorithm was used to find different medical entities and a binary SVM classifier was used to find relationship between entities. For Task-B, a(More)
This work is licenced under a Creative Commons Attribution 4.0 International License. Page numbers and proceedings footer are added by the organizers. License details: Abstract [We report of the procedures of developing a large representative corpus of 50,000 sentences taken from clinical notes. Previous reports of annotated corpus of clinical notes have(More)