Literature DB >> 20962137

Development of a combined system for identification and classification of adverse drug reactions: Alerts Based on ADR Causality and Severity (ABACUS).

Yvonne Koh1, Chun Wei Yap, Shu-Chuen Li.   

Abstract

Currently, adverse drug reaction (ADR) causality and severity are assessed using different systems but there is no standard method to combine the results. In this work, a combined ADR causality and severity assessment system, including an online version, was developed. Logical rules were defined to translate the score obtained from the system into three alert zones: green, amber, and red. The alert zones are useful for triaging ADR cases as they help define the seriousness of the ADR and the urgency of the responses required. This new scoring system may be useful for clinicians, investigators, and regulators seeking information on the likelihood of a drug causing an adverse reaction, and whether an adverse reaction is sufficiently dangerous for the drug to be withheld or undergo further investigation.

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Year:  2010        PMID: 20962137      PMCID: PMC3000761          DOI: 10.1136/jamia.2010.006882

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  10 in total

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Authors:  Yvonne Koh; Chun Wei Yap; Shu Chuen Li
Journal:  Int J Med Inform       Date:  2007-10-24       Impact factor: 4.046

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  10 in total
  3 in total

Review 1.  A review of approaches to identifying patient phenotype cohorts using electronic health records.

Authors:  Chaitanya Shivade; Preethi Raghavan; Eric Fosler-Lussier; Peter J Embi; Noemie Elhadad; Stephen B Johnson; Albert M Lai
Journal:  J Am Med Inform Assoc       Date:  2013-11-07       Impact factor: 4.497

2.  Assessment of the expectancy, seriousness and severity of adverse drug reactions reported for chronic obstructive pulmonary disease therapy.

Authors:  Guenka Petrova; Assena Stoimenova; Maria Dimitrova; Maria Kamusheva; Daniela Petrova; Ognian Georgiev
Journal:  SAGE Open Med       Date:  2017-01-31

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Authors:  Andrei Valeanu; Cristian Damian; Cristina Daniela Marineci; Simona Negres
Journal:  Sci Rep       Date:  2020-06-12       Impact factor: 4.379

  3 in total

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