Fish Oil, Raynaud's Syndrome, and Undiscovered Public Knowledge

By D. Swanson. Perspectives in biology and medicine, 2015

923 citations recorded by the source corpus.

Subfields: History and Philosophy of Science, Neurology

View Paper: https://www.semanticscholar.org/paper/43f4674bded8f35df66c3a6db9ca388735718872

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In History and Philosophy of Science

In Neurology

Citations in the corpus

Using concepts in literature-based discovery: Simulating Swanson's Raynaud-fish oil and migraine-magnesium discoveries (2001, methodology): “In both papers, they use lexical statistics to simulate Swanson’s discoveries on Raynaud–fish oil (Swanson, 1986) and migraine–magnesium (Swanson, 1988).”
CoPub Mapper: mining MEDLINE based on search term co-publication (2005, result): “This approach shows analogies with the Swanson discovery framework in which concept A is known to relate to B and B is associated with C [49,50].”
Frontiers of biomedical text mining: current progress (2007, background): “These links can be proposed as potential scientific hypotheses, the prototypical example being that between fish oil and Raynaud’s disease, hypothesized by Swanson in his seminal paper [94].”
Visualizing a field of research: A methodology of systematic scientometric reviews (2019, methodology): “Swanson’s 1986 article on fish oil and Raynaud’s syndrome is an example of a singleton set, whereas the 1,777 full text search results could be an example of a set of multiple entities.”
Text mining: Generating hypotheses from MEDLINE (2004, background): “Over the past two decades and in collaboration with Smalheiser, Swanson proposed several interesting hypotheses (Swanson, 1986, 1988; Swanson & Smal-heiser, 1997; Swanson et al., 2001; Smalheiser & Swanson, 1996a,b), that were later validated by bioscientists.”
Learning about the world through long-term query logs (2008, neutral): “We also include the scores for “caffeine” and “magnesium” (magnesium was hypothesized to be related to migraines in Swanson’s [1988] work on mining medical literature).”
A survey of current work in biomedical text mining (2005, background): “In 1986, he found a connection implying patient benefit between fish oil and Raynaud’s syndrome, two years before clinical trials established that the benefit was real [8, 62].”
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery (2015, methodology): “Scenario 4 : For the Indomethacin - Alzheimer’s Disease discovery [32] by Smalheiser and Swanson in 1995, there were 15 subgraphs at 2 σ .”
Corpus annotation for mining biomedical events from literature (2008, background): “Background Due to the ever-increasing amount of scientific articles in the bio-medical domain, Text Mining (TM) has been recognized as one of the key technologies for future bio-medical research [1-8].”
Mining electronic health records: towards better research applications and clinical care (2012, methodology): “In text mining of the biomedical literature this approach has long been used to discover hidden associations 51,52 .”
Computational Drug Repositioning: From Data to Therapeutics (2013, background): “10,11 Computational analyses amplify these traditional approaches because they allow the researcher to generate, evaluate, and prioritize data for several drugs and diseases simultaneously.”