Concepedia

Diagnosis Code Feature Engineering

Diagnosis Code Feature Engineering is a methodological framework within feature engineering for phenotypes that specifically transforms raw diagnosis codes from electronic health records into structured, predictive features through systematic aggregation, encoding, and temporal modeling to enhance clinical phenotype detection.

2

Publications

59

Citations

7

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

7

  1. RK
    Ramakanth Kavuluru

    University of Kentucky, United States

    1 publications · 17 citations

    1

    h-index

  2. JL
    Junyu Luo

    Pennsylvania State University, United States

    1 publications · 42 citations

    1

    h-index

  3. FM
    Fenglong Ma

    Pennsylvania State University, United States

    1 publications · 42 citations

    1

    h-index

  4. DR
    Daniel R. Harris

    University of Kentucky, United States

    1 publications · 17 citations

    1

    h-index

  5. SH
    Sifei Han

    University of Pennsylvania, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 7

Institutions

3

  1. Pennsylvania State University

    State College, United States

    1 h-index

    3 publications

    126 citations

  2. IQVIA (United States)

    Durham, United States

    1 h-index

    1 publications

    42 citations

  3. University of Kentucky

    Lexington, United States

    1 h-index

    3 publications

    51 citations

1–3 of 3

Venues

  1. Lecture notes in computer science

    LNCS · Book series · 1 publications · 17 citations

    1

    h-index

1–1