Decision Support Personalization

Decision Support Personalization is a computational framework within clinical decision support systems that tailors medical recommendations to individual patients by integrating patient-specific data with evidence-based guidelines, thereby differentiating itself from generalized decision support through its focus on personalization at the individual level.

39

Publications

2.2K

Citations

245

Authors

138

Institutions

Publications per year

2017–2026

17

Authors

245

  1. AD
    Andrea Damiani

    Università Cattolica del Sacro Cuore, Italy

    2 publications · 32 citations

    2

    h-index

  2. MP
    Mor Peleg

    University of Haifa, Israel

    2 publications · 52 citations

    2

    h-index

  3. ES
    Erez Shalom

    Ben-Gurion University of the Negev, Israel

    2 publications · 52 citations

    2

    h-index

  4. NM
    Nataliia Melnykova

    Lviv Polytechnic National University, Ukraine

    2 publications · 30 citations

    2

    h-index

  5. AA
    Ainhoa Azqueta-Alzúaz

    Universidad Politécnica de Madrid, Spain

    1 publications · 19 citations

    1

    h-index

1–5 of 245

Venues

  1. Information Sciences

    2 publications · 202 citations

    2

    h-index

  2. PLoS ONE

    2 publications · 79 citations

    2

    h-index

  3. International Journal of Medical Informatics

    2 publications · 44 citations

    2

    h-index

  4. Journal of Biomedical Informatics

    2 publications · 259 citations

    2

    h-index

  5. Decision Support Systems

    1 publications · 12 citations

    1

    h-index

1–5