Text Mining the History of Medicine

• Published in: PloS one Vol. 11; no. 1; p. e0144717
• Main Authors: Thompson, Paul, Batista-Navarro, Riza Theresa, Kontonatsios, Georgios, Carter, Jacob, Toon, Elizabeth, McNaught, John, Timmermann, Carsten, Worboys, Michael, Ananiadou, Sophia
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 06.01.2016; Public Library of Science (PLoS)
• Subjects: Accessibility; Analysis; Archives; Archives & records; Bioinformatics; Causality; Computer science; Data Mining; Data processing; Dating techniques; Digitization; Disease; Drugs; History of Medicine; History, 19th Century; Keywords; Medical research; Medical services; Medicine; Queries; Query expansion; Researchers; Science history; Searching; Semantics; Studies; Terminology; Texts; Tuberculosis; Iran; United Kingdom > UK

Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining...