Results 131 to 140 of about 57,049 (308)
Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji [PDF]
arXiv, 2015 The 2013 outbreak of Dengue in Fiji resulted in an alarming number of deaths and has been is a matter of serious concern. Dengue fever is a disease caused by the four types of the Dengue virus serotypes and transmitted mostly from mosquito bites. In Fiji, dengue diagnosis is only done in hospitals which are slow and time consuming. It is also important
arxiv
The treatment of enteric fever [PDF]
Transactions of the Royal Academy of Medicine in Ireland, 1904 n ...
openaire +3 more sources
An Accurate Gaussian Process-Based Early Warning System for Dengue Fever [PDF]
arXiv, 2016 Dengue fever is a mosquito-borne disease present in all Brazilian territory. Brazilian government, however, lacks an accurate early warning system to quickly predict future dengue outbreaks. Such system would help health authorities to plan their actions and to reduce the impact of the disease in the country.
arxiv
Defining travel-associated cases of enteric fever
Journal of Infection and Public Health, 2014 Summary: There is no internationally recognized case-definition for travel-associated enteric fever in non-endemic countries. This study describes the patterns of case reporting between 2007 and 2011 as travel-associated or not from the surveillance data
Joanne Freedman +2 more
doaj
Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models [PDF]
arXivHallucinations in generative AI, particularly in Large Language Models (LLMs), pose a significant challenge to the reliability of multilingual applications. Existing benchmarks for hallucination detection focus primarily on English and a few widely spoken languages, lacking the breadth to assess inconsistencies in model performance across diverse ...
arxiv
FEVER: a large-scale dataset for Fact Extraction and VERification [PDF]
arXiv, 2018 In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from.
arxiv