Rule-based Case Detection

Rule-Based Case Detection is a method within the domain of passive case finding that uses predefined, deterministic criteria or rules to systematically identify potential cases from existing data sources.

7

Publications

473

Citations

21

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

21

  1. PC
    Paolo Costa

    Microsoft Research (United Kingdom), United Kingdom

    1 publications · 26 citations

    1

    h-index

  2. SW
    Sri Wahyuni

    Universitas Pembangunan Panca Budi Medan, Indonesia

    1 publications · 20 citations

    1

    h-index

  3. YS
    Yakub Sebastian

    Charles Darwin University, Australia

    1 publications · 11 citations

    1

    h-index

  4. AY
    Anthony Y. H. Liao

    Asia University, Taiwan

    1 publications · 56 citations

    1

    h-index

  5. PT
    Patrick Then

    Swinburne University of Technology Sarawak Campus, Malaysia

    1 publications · 11 citations

    1

    h-index

1–5 of 21

Venues

  1. Knowledge-Based Systems

    1 publications · 11 citations

    1

    h-index

  2. BMC Medical Informatics and Decision Making

    1 publications · 18 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 56 citations

    1

    h-index

  4. Journal of Physics Conference Series

    1 publications · 20 citations

    1

    h-index

  5. Cortex

    1 publications · 292 citations

    1

    h-index

1–5