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Mining Medline for the Treatment of Osteoporosis

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Date

2012

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Open Access Color

Green Open Access

No

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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.

Description

Tolun, Mehmet Resit/0000-0002-8478-7220; Yildirim, Pinar/0000-0003-3295-5699

Keywords

Biomedical Text Mining, Osteoporosis, Information Extraction, Drug Therapy, Dose-Response Relationship, Drug, Bibliometrics, MEDLINE, Data Mining, Humans, Osteoporosis, United States

Fields of Science

03 medical and health sciences, 0302 clinical medicine

Citation

Yildirim, Pinar...et al. "Mining Medline for the Treatment of Osteoporosis", Journal of Medical Systems, Vol. 36, No. 4, pp. 2339-2347, (2012)

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
2

Source

Journal of Medical Systems

Volume

36

Issue

4

Start Page

2339

End Page

2347
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Citations

CrossRef : 2

Scopus : 3

PubMed : 1

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Mendeley Readers : 36

SCOPUS™ Citations

3

checked on Feb 24, 2026

Web of Science™ Citations

2

checked on Feb 24, 2026

Page Views

1

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0.27952385

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3

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