Concepedia

Multimodal Symptom Analysis

Multimodal Symptom Analysis is a systematic framework that integrates and analyzes symptom-related data from multiple heterogeneous sources or modalities—such as physiological signals, behavioral observations, self-reports, and medical imaging—to enhance the accuracy, comprehensiveness, and contextual understanding of symptom detection, characterization, and monitoring in clinical and research settings.

31

Publications

1.2K

Citations

184

Authors

87

Institutions

Publications per year

2017–2026

21

Parents

Publications

31

Multimodal mental health analysis in social media

Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj et al. · PLoS ONE · 2020 · 131 citations · Full text

, , +17

Automatic detection of depression symptoms in twitter using multimodal analysis

Ramin Safa, Peyman Bayat, Leila Moghtader · The Journal of Supercomputing · 2021 · 118 citations · Full text

, , +16

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia

Jianlong Zhou, Hamad Zogan, Shuiqiao Yang et al. · IEEE Transactions on Computational Social Systems · 2021 · 102 citations · Full text

, , +17

Separating generalized anxiety disorder from major depression using clinical, hormonal, and structural <scp>MRI</scp> data: A multimodal machine learning study

Kevin Hilbert, Ulrike Lueken, Markus Muehlhan et al. · Brain and Behavior · 2017 · 83 citations · Full text

, , +17

MHA: a multimodal hierarchical attention model for depression detection in social media

Zepeng Li, Zhengyi An, Wenchuan Cheng et al. · Health Information Science and Systems · 2023 · 55 citations · Full text

, , +14

1–5 of 31

Authors

184

  1. WJ
    William J. Martin

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    1 publications · 37 citations

    1

    h-index

  2. MC
    Miloš Cerňak

    Idiap Research Institute, Switzerland

    1 publications · 36 citations

    1

    h-index

  3. AH
    Amir Hassan Monadjemi

    Wright State University, United States

    1 publications · 131 citations

    1

    h-index

  4. BV
    Barbara Viviani

    University of Milan, Italy

    1 publications · 17 citations

    1

    h-index

  5. CB
    Chris Berka

    Advanced Brain Monitoring (United States), United States

    1 publications · 22 citations

    1

    h-index

1–5 of 184

Institutions

87

  1. Cornell University

    Ithaca, United States

    2 h-index

    7 publications

    677 citations

  2. Meharry Medical College

    Nashville, United States

    1 h-index

    3 publications

    75 citations

  3. Advanced Brain Monitoring (United States)

    Carlsbad, United States

    1 h-index

    2 publications

    44 citations

  4. Rice University

    Houston, United States

    1 h-index

    1 publications

    51 citations

  5. Intel (Germany)

    Munich, Germany

    1 h-index

    1 publications

    36 citations

  6. University of Sheffield

    Sheffield, United Kingdom

    1 h-index

    1 publications

    36 citations

  7. Eli Lilly (United States)

    Indianapolis, United States

    1 h-index

    1 publications

    52 citations

  8. First Affiliated Hospital of Jinan University

    Guangzhou, China

    1 h-index

    5 publications

    195 citations

1–8 of 87

Venues

  1. IEEE Access

    2 publications · 75 citations

    2

    h-index

  2. Computer Methods and Programs in Biomedicine

    1 publications · 28 citations

    1

    h-index

  3. BMC Neurology

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. The Journal of Nervous and Mental Disease

    1 publications · 10 citations

    1

    h-index

1–5