skip to main content
department
Free Access

Digging for drug facts

Published:01 October 2012Publication History
Skip Abstract Section

Abstract

With the right approach, data mining can discover unexpected side effects and drug interactions.

References

  1. Altman, R. Russ Altman @ PMWC 2012: Data Mining EMR's, http://www.youtube.com/ watch?v=XPBrCYaV050, Feb. 24, 2012.Google ScholarGoogle Scholar
  2. Harpaz, R., DuMouchel, W., Shah, N.H., Ryan, P., and Friedman, C. Novel data mining methodologies for adverse drug even discovery and analysis, Clinical Pharmacology and Therapeutics, May 2, 2012.Google ScholarGoogle Scholar
  3. Hopstadius, J., and Noren, G.N. Robust discovery of local patterns: subsets and stratification in adverse drug reaction surveillance, 2012 ACM SIGHIT International Health Informatics Symposium, Miami, FL, Jan. 28-30, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Lounkine, E., et al. Large-scale prediction and testing of drug activity on side-effect targets, Nature 486, 7403, June 10, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  5. Tatonetti, N.P., Ye, P.P., Daneshjou, R., and Altman, R. Data-driven prediction of drug events and interactions, Science Translational Medicine 4, 125, March 14, 2012.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Digging for drug facts

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image Communications of the ACM
          Communications of the ACM  Volume 55, Issue 10
          October 2012
          101 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/2347736
          Issue’s Table of Contents

          Copyright © 2012 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 October 2012

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • department
          • Popular
          • Un-reviewed

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format