Automated Mortality Coding

Automated Mortality Coding is a computational method that systematically assigns standardized cause-of-death codes to mortality records using algorithms or rule-based systems, distinguishing it from manual coding by enabling high-throughput, consistent, and efficient processing of death certificate data.

15

Publications

584

Citations

92

Authors

53

Institutions

Publications per year

2017–2026

7

Authors

92

  1. PJ
    Prabhat Jha

    University of Toronto, Canada

    4 publications · 168 citations

    4

    h-index

  2. LA
    Lukasz Aleksandrowicz

    London School of Hygiene & Tropical Medicine, United Kingdom

    3 publications · 136 citations

    3

    h-index

  3. TA
    Tim Adair

    The University of Melbourne, Australia

    2 publications · 49 citations

    2

    h-index

  4. PM
    Pierre Miasnikof

    University of Toronto, Canada

    2 publications · 105 citations

    2

    h-index

  5. ST
    Stephen Tollman

    University of the Witwatersrand, South Africa

    2 publications · 105 citations

    2

    h-index

1–5 of 92

Venues

  1. BMC Medicine

    3 publications · 136 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 73 citations

    2

    h-index

  3. BMC Medical Informatics and Decision Making

    2 publications · 50 citations

    2

    h-index

  4. European Journal of Public Health

    1 publications · 29 citations

    1

    h-index

  5. Online Social Networks and Media

    OSNEM · 1 publications · 51 citations

    1

    h-index

1–5