Rule-based Diagnostic Support

Rule-Based Diagnostic Support is a diagnostic decision support method that employs a set of predefined logical rules derived from clinical knowledge to guide or generate differential diagnoses, distinguished from other methods by its reliance on explicit, human-readable condition-action rules rather than statistical or machine learning models.

105

Publications

3.6K

Citations

337

Authors

154

Institutions

Publications per year

2017–2026

21

Variants

Rule-based Diagnostic Decision Support

Authors

337

  1. YH
    Yoichi Hayashi

    Meiji University, Japan

    5 publications · 228 citations

    5

    h-index

  2. WL
    Weiyong Liu

    Wuhan University, China

    3 publications · 112 citations

    3

    h-index

  3. MS
    Mohammad Shahadat Hossain

    University of Chittagong, Bangladesh

    3 publications · 73 citations

    3

    h-index

  4. SR
    Saifur Rahaman

    University of Chittagong, Bangladesh

    3 publications · 64 citations

    3

    h-index

  5. LC
    Leilei Chang

    Hangzhou Dianzi University, China

    3 publications · 112 citations

    3

    h-index

1–5 of 337

Venues

  1. Expert Systems with Applications

    8 publications · 345 citations

    8

    h-index

  2. PubMed

    Repository · 7 publications · 121 citations

    7

    h-index

  3. Artificial Intelligence in Medicine

    AIM · 3 publications · 108 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 91 citations

    3

    h-index

  5. Informatics in Medicine Unlocked

    IMU · 3 publications · 145 citations

    3

    h-index

1–5