Risk Factor Data Cleaning

Risk Factor Data Cleaning is a systematic methodological process within risk factor data management that identifies and corrects inaccuracies, inconsistencies, and missing values in risk factor datasets to ensure data quality and analytical validity.

1

Publications

21

Citations

3

Authors

0

Institutions

Publications per year

2017–2026

0

Authors

3

  1. SM
    Seyed Meysam Mousavi

    Shahed University, Iran

    1 publications · 21 citations

    1

    h-index

  2. AA
    Abolfazl Aminian

    Islamic Azad University South Tehran Branch, Iran

    1 publications · 21 citations

    1

    h-index

  3. MM
    Mohammad Mojtahedi

    UNSW Sydney, Australia

    1 publications · 21 citations

    1

    h-index

1–3 of 3

Venues

  1. Journal of Applied Sciences

    1 publications · 21 citations

    1

    h-index

1–1