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Correction to: A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding

Author

Listed:
  • Christopher McMaster

    (Austin Health
    University of Melbourne)

  • David Liew

    (Austin Health
    University of Melbourne)

  • Claire Keith

    (Austin Health)

  • Parnaz Aminian

    (Austin Health)

  • Albert Frauman

    (Austin Health
    University of Melbourne)

Abstract

CK: Principal Investigator. CM and CK were responsible for the study design and conception; all authors were responsible for acquisition and validation of the data; CM was responsible for analysis and interpretation of the data; and all authors contributed to reviewing drafts of the manuscript and approved the final version for publication.

Suggested Citation

  • Christopher McMaster & David Liew & Claire Keith & Parnaz Aminian & Albert Frauman, 2019. "Correction to: A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding," Drug Safety, Springer, vol. 42(6), pages 807-807, June.
    • Handle: RePEc:spr:drugsa:v:42:y:2019:i:6:d:10.1007_s40264-019-00820-7
    DOI: 10.1007/s40264-019-00820-7
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    Cited by:

    1. Yiqing Zhao & Yue Yu & Hanyin Wang & Yikuan Li & Yu Deng & Guoqian Jiang & Yuan Luo, 2022. "Machine Learning in Causal Inference: Application in Pharmacovigilance," Drug Safety, Springer, vol. 45(5), pages 459-476, May.
    2. Heba Edrees & Wenyu Song & Ania Syrowatka & Aurélien Simona & Mary G. Amato & David W. Bates, 2022. "Intelligent Telehealth in Pharmacovigilance: A Future Perspective," Drug Safety, Springer, vol. 45(5), pages 449-458, May.

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