title: Mining MEDLINE for the treatment of osteoporosis.
abstract: In this paper, we consider the importance of osteoporosis disease in terms of medical research and pharmaceutical industry and we introduce a knowledge discovery approach regarding the treatment of osteoporosis from a historical perspective. Osteoporosis is a systemic skeletal disease in which osteoporotic fractures are associated with substantial morbidity and mortality and impaired quality of life. Osteoporosis has also higher costs, for example, longer hospital stays than many other diseases such as diabetes and heart attack and it is an attractive market for pharmaceutical companies. We use a freely available biomedical search engine leveraging text-mining technology to extract the drug names used in the treatment of osteoporosis from MEDLINE articles. We conclude that alendronate (Fosamax) and raloxifene (Evista) have the highest number of articles in MEDLINE and seem the dominating drugs for the treatment of osteoporosis in the last decade.
authors.affiliation: Department of Computer Engineering, Cankaya University, Ankara, Turkey. pinar@cankaya.edu.tr
authors.forename: Pinar
authors.initials: P
authors.lastname: Yildirim
authors.forename: Cinar
authors.initials: C
authors.lastname: Ceken
authors.forename: Reza
authors.initials: R
authors.lastname: Hassanpour
authors.forename: Sadik
authors.initials: S
authors.lastname: Esmelioglu
authors.forename: Mehmet Resit
authors.initials: MR
authors.lastname: Tolun
mesh_terms: D015706:Bibliometrics; D057225:Data Mining; D004305:Dose-Response Relationship, Drug; D006801:Humans; D016239:MEDLINE; D010024:Osteoporosis / Q000188:drug therapy*; D014481:United States