Deep Learning Diagnostics

Deep Learning Diagnostics is a diagnostic framework within clinical artificial intelligence that employs deep neural networks to automatically identify sepsis from complex, high-dimensional biomedical data by learning hierarchical representations and context-specific patterns distinct from traditional rule-based or shallow machine learning approaches.

1.7K

Publications

102.5K

Citations

9.3K

Authors

2.7K

Institutions

Publications per year

2017–2026

1.6K

Authors

9.3K

  1. YZ
    Yudong Zhang

    University of Leicester, United Kingdom

    16 publications · 1K citations

    15

    h-index

  2. SW
    Shuihua Wang‎

    University of Leicester, United Kingdom

    9 publications · 526 citations

    9

    h-index

  3. SG
    Sheifali Gupta

    Chitkara University, India

    7 publications · 290 citations

    7

    h-index

  4. MK
    Mohammad Khishe

    Imam Khomeini Marine Science University

    7 publications · 532 citations

    7

    h-index

  5. SC
    Suresh Chandra Satapathy

    KIIT University, India

    7 publications · 242 citations

    7

    h-index

1–5 of 9.3K

Venues

  1. IEEE Access

    66 publications · 4.9K citations

    38

    h-index

  2. Scientific Reports

    53 publications · 2.9K citations

    34

    h-index

  3. Sensors

    34 publications · 1.8K citations

    27

    h-index

  4. Diagnostics

    40 publications · 1.6K citations

    24

    h-index

  5. IEEE Journal of Biomedical and Health Informatics

    23 publications · 1.1K citations

    21

    h-index

1–5