Results 21 to 30 of about 1,163,733 (143)

Sequence embeddings help to identify fraudulent cases in healthcare insurance [PDF]

open access: yesarXiv, 2019
Fraud causes substantial costs and losses for companies and clients in the finance and insurance industries. Examples are fraudulent credit card transactions or fraudulent claims. It has been estimated that roughly $10$ percent of the insurance industry's incurred losses and loss adjustment expenses each year stem from fraudulent claims.
arxiv  

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification [PDF]

open access: yesarXiv
The increasing rate at which scientific knowledge is discovered and health claims shared online has highlighted the importance of developing efficient fact-checking systems for scientific claims. The usual setting for this task in the literature assumes that the documents containing the evidence for claims are already provided and annotated or ...
arxiv  

Soluble fiber intake at a dose approved by the US Food and Drug Administration for a claim of health benefits: serum lipid risk factors for cardiovascular disease assessed in a randomized controlled crossover trial [PDF]

open access: bronze, 2002
David J.A. Jenkins   +11 more
openalex   +1 more source

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse [PDF]

open access: yesarXiv
In this paper, we develop an LLM-powered framework for the curation and evaluation of emerging opinion mining in online health communities. We formulate emerging opinion mining as a pairwise stance detection problem between (title, comment) pairs sourced from Reddit, where post titles contain emerging health-related claims on a topic that is not ...
arxiv  

FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs [PDF]

open access: yesarXiv
Our society is facing rampant misinformation harming public health and trust. To address the societal challenge, we introduce FACT-GPT, a system leveraging Large Language Models (LLMs) to automate the claim matching stage of fact-checking. FACT-GPT, trained on a synthetic dataset, identifies social media content that aligns with, contradicts, or is ...
arxiv  

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