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Marc Weeber

Researcher at Erasmus University Rotterdam

Publications -  35
Citations -  1875

Marc Weeber is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Literature-based discovery & Thesaurus (information retrieval). The author has an hindex of 19, co-authored 35 publications receiving 1827 citations. Previous affiliations of Marc Weeber include University of Illinois at Chicago & Erasmus University Medical Center.

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Using concepts in literature-based discovery: simulating Swanson's Raynaud-fish oil and migraine-magnesium discoveries

TL;DR: A two-step model of the discovery process in which hypotheses are generated and subsequently tested is proposed and implemented in a Natural Language Processing system that uses biomedical Unified Medical Language System (UMLS) concepts as its unit of analysis.
Journal ArticleDOI

A probabilistic similarity metric for Medline records: A model for author name disambiguation

TL;DR: In this article, the authors present a model for estimating the probability that a pair of author names (sharing last name and first initial), appearing on two different Medline articles, refer to the same individual.
Journal ArticleDOI

Generating hypotheses by discovering implicit associations in the literature: a case report of a search for new potential therapeutic uses for thalidomide.

TL;DR: Solid bibliographic evidence is found suggesting that thalidomide might be useful for treating acute pancreatitis, chronic hepatitis C, Helicobacter pylori-induced gastritis, and myasthenia gravis, but experimental and clinical evaluation is needed to validate and assess the trade-off between therapeutic benefits and toxicities.
Proceedings Article

Text-based discovery in biomedicine: The architecture of the DAD-system

TL;DR: The DAD-system is reported on, a concept-based Natural Language Processing system for PubMed citations that provides the biomedical researcher with a literature-based discovery tool to explore new useful domains.