Diagnostic Problem Representation

Diagnostic Problem Representation is a type of problem representation in which the defining characteristic is the identification and structuring of a problem space to reveal underlying causes or mechanisms of a given phenomenon, distinguished from other forms of problem representation by its focus on causal diagnosis rather than prediction, classification, or optimization.

106

Publications

5.1K

Citations

237

Authors

125

Institutions

Publications per year

2017–2026

9

Authors

237

  1. JA
    James A. Reggia

    University of Maryland, College Park, United States

    4 publications · 331 citations

    4

    h-index

  2. BC
    Bharath Chandrasekaran

    The University of Texas at Austin, United States

    4 publications · 426 citations

    4

    h-index

  3. SM
    Sanjay Mittal

    The Ohio State University, United States

    3 publications · 384 citations

    3

    h-index

  4. YP
    Yun Peng

    Massachusetts General Hospital, United States

    2 publications · 154 citations

    2

    h-index

  5. SA
    Sheila A. McIlraith

    University of Toronto, Canada

    2 publications · 139 citations

    2

    h-index

1–5 of 237

Venues

  1. PubMed

    Repository · 7 publications · 212 citations

    7

    h-index

  2. International Journal of Intelligent Systems

    4 publications · 143 citations

    4

    h-index

  3. 4

    h-index

  4. Applied Artificial Intelligence

    AAI · 3 publications · 79 citations

    3

    h-index

  5. Academic Medicine

    2 publications · 83 citations

    2

    h-index

1–5