Machine Learning Diagnostics

Machine Learning Diagnostics is a computational framework within diagnostic science that employs machine learning algorithms to identify, classify, or predict pathological conditions by analyzing complex biological, clinical, or physiological data, distinguishing itself from traditional diagnostic methods through its adaptive, data-driven modeling of diagnostic patterns.

2.1K

Publications

107.7K

Citations

11.5K

Authors

3.5K

Institutions

Publications per year

2017–2026

1.9K

Authors

11.5K

  1. HC
    Huiling Chen

    Wenzhou University, China

    11 publications · 702 citations

    11

    h-index

  2. WP
    Wellington Pinheiro dos Santos

    Universidade Federal de Pernambuco, Brazil

    6 publications · 272 citations

    6

    h-index

  3. MK
    Matjaž Kukar

    University of Ljubljana, Slovenia

    6 publications · 532 citations

    6

    h-index

  4. NS
    Niranjana Sampathila

    Manipal Academy of Higher Education, India

    6 publications · 237 citations

    6

    h-index

  5. KC
    Krishnaraj Chadaga

    Manipal Academy of Higher Education, India

    6 publications · 237 citations

    6

    h-index

1–5 of 11.5K

Venues

  1. Scientific Reports

    61 publications · 3K citations

    33

    h-index

  2. IEEE Access

    43 publications · 2.6K citations

    30

    h-index

  3. Sensors

    34 publications · 1.4K citations

    22

    h-index

  4. PLoS ONE

    26 publications · 1.6K citations

    20

    h-index

  5. Diagnostics

    24 publications · 946 citations

    19

    h-index

1–5