12–17 Jul 2026
University of Graz
Europe/Vienna timezone

One item per disorder: a cross-disorder optimization framework for simultaneous prediction of six psychiatric conditions

14 Jul 2026, 18:30
2h
ReSoWi Building (University of Graz)

ReSoWi Building

University of Graz

Board: F10
Poster Numerical, Computational, and Data-Driven Methods Poster Presentations

Speaker

Myna Lim (Graduate School of Data Science, KAIST)

Description

Mental disorders are a major contributor to the global burden of disease and often manifest as overlapping symptom profiles rather than isolated diagnoses. In clinical and digital health settings, this requires simultaneous assessment of multiple psychiatric domains, including depression, anxiety, trauma-related symptoms, substance use, and suicidality. However, current screening frameworks rely on separate disorder-specific questionnaires, producing lengthy assessments that increase response burden and limit scalability for large-scale or longitudinal monitoring. From a systems perspective, this raises the question of whether multi-disorder psychiatric risk signals are distributed across many questionnaire items or concentrated within a smaller set of core symptom dimensions. Here, we investigate structural compression in multi-disorder psychiatric assessment by identifying representative symptoms across six commonly used instruments. Our framework compresses 57 questionnaire items into a six-item representation while preserving strong predictive performance across all disorders (AUROC $\approx$ 0.90–0.97). Network analysis further shows that the selected symptoms occupy central positions within the symptom interaction network, suggesting that multi-condition psychiatric risk can be captured through a compact set of symptom dimensions.

Bibliography

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volume = {649},
issn = {0028-0836, 1476-4687},
url = {https://www.nature.com/articles/s41586-025-09820-3},
doi = {10.1038/s41586-025-09820-3},
language = {en},
number = {8096},
urldate = {2026-05-11},
journal = {Nature},
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@article{kotov_hierarchical_2017,
title = {The {Hierarchical} {Taxonomy} of {Psychopathology} ({HiTOP}): {A} dimensional alternative to traditional nosologies.},
volume = {126},
issn = {1939-1846, 0021-843X},
shorttitle = {The {Hierarchical} {Taxonomy} of {Psychopathology} ({HiTOP})},
url = {https://doi.apa.org/doi/10.1037/abn0000258},
doi = {10.1037/abn0000258},
language = {en},
number = {4},
urldate = {2026-05-11},
journal = {Journal of Abnormal Psychology},
author = {Kotov, Roman and Krueger, Robert F. and Watson, David and Achenbach, Thomas M. and Althoff, Robert R. and Bagby, R. Michael and Brown, Timothy A. and Carpenter, William T. and Caspi, Avshalom and Clark, Lee Anna and Eaton, Nicholas R. and Forbes, Miriam K. and Forbush, Kelsie T. and Goldberg, David and Hasin, Deborah and Hyman, Steven E. and Ivanova, Masha Y. and Lynam, Donald R. and Markon, Kristian and Miller, Joshua D. and Moffitt, Terrie E. and Morey, Leslie C. and Mullins-Sweatt, Stephanie N. and Ormel, Johan and Patrick, Christopher J. and Regier, Darrel A. and Rescorla, Leslie and Ruggero, Camilo J. and Samuel, Douglas B. and Sellbom, Martin and Simms, Leonard J. and Skodol, Andrew E. and Slade, Tim and South, Susan C. and Tackett, Jennifer L. and Waldman, Irwin D. and Waszczuk, Monika A. and Widiger, Thomas A. and Wright, Aidan G. C. and Zimmerman, Mark},
month = may,
year = {2017},
pages = {454--477},
}

Authors

Myna Lim (Graduate School of Data Science, KAIST) Sooyeon Suh (Department of Psychology, Sungshin University)

Co-authors

Daeil Jang (Innovation Center for Industrial Mathematics, National Institute for Mathematical Sciences) Jae Kyoung Kim (Department of Mathematical Sciences, KAIST) Jinhyeon Byeon (Department of Psychology, Sungshin University) Seockhoon Chung (Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine)

Presentation materials

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