Biomarker Cutoff Optimization

Biomarker Cutoff Optimization is the systematic process of determining the optimal threshold value for a biomarker’s measurement that maximally discriminates between clinically relevant states, such as disease presence or absence, by balancing sensitivity, specificity, and other performance metrics.

10

Publications

2.1K

Citations

57

Authors

29

Institutions

Publications per year

2017–2026

4

Authors

57

  1. BK
    Betsy Kristjansson

    University of Ottawa, Canada

    1 publications · 14 citations

    1

    h-index

  2. BG
    Balázs Győrffy

    Semmelweis University, Hungary

    1 publications · 1.3K citations

    1

    h-index

  3. MK
    Maciej Kostrubiec

    Medical University of Warsaw, Poland

    1 publications · 57 citations

    1

    h-index

  4. KB
    Kaj Blennow

    University of Gothenburg, Sweden

    1 publications · 205 citations

    1

    h-index

  5. JD
    Juan Domingo Gispert

    Pasqual Maragall Foundation, Spain

    1 publications · 205 citations

    1

    h-index

1–5 of 57

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 2 publications · 155 citations

    2

    h-index

  2. Computer Methods and Programs in Biomedicine

    1 publications · 192 citations

    1

    h-index

  3. European Respiratory Journal

    1 publications · 57 citations

    1

    h-index

  4. Journal of Clinical Epidemiology

    1 publications · 14 citations

    1

    h-index

  5. Alzheimer s Research & Therapy

    1 publications · 205 citations

    1

    h-index

1–5