Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 53 min ago
Peer-reviewedCC BYFrontiers in aging neuroscience

Eye-movement-based machine learning for identifying Parkinson’s disease dementia in a retrospective cohort: an interpretable model-development study

  • Jing Wu1
  • Qing Liu2
  • Song Yang1
  • Yuqing Zhang3
  • Yuanlu Shu1
  • Junwen Wang2
  • Min Wu4
  • Tian Tian1
4 affiliations
  1. 1Department of Neurology, The Affiliated Hospital of Guizhou Medical University , ,
  2. 2Department of Neurology, The Second People’s Hospital of Guiyang (Jinyang Hospital), The Affiliated Jinyang Hospital of Guizhou Medical University , ,
  3. 3Department of Psychosomatic Diseases, The Second People’s Hospital of Guizhou , ,
  4. 4Department of Neurosurgery, Guizhou Provincial People’s Hospital , ,
Read full textPDFCite

Related

  1. Development and Internal Validation of an Interpretable Machine Learning Model for Identifying Past-Year Nonsuicidal Self-Injury Among Adolescents With Depression: Retrospective Study.
    Gaoyang Liu, Chenxi Yang, Wendan Chen +7
    JMIR pediatrics and parentingPeer-reviewedCC BYFull textPsychiatry & mental healthEurope PMC
  2. Development and validation of an interpretable machine learning model for predicting early acute kidney injury and altered consciousness in cardiac surgery patients admitted to the intensive care unit: a retrospective study.
    Shu Yang, Jing Luo, Lianzheng Ma +3
    Frontiers in endocrinologyPeer-reviewedCC BYFull textEndocrinology & metabolismEurope PMCCrossref
  3. Interpretable machine learning for identifying poor physical fitness in adults across three high-altitude regions of Tibet: a cross-sectional study
    Ting Chen, Xin Zhao, Ruizhe Sun +2
    BMC Public HealthPeer-reviewedCC BY-NC-ND 4.0PhysiologyCrossref
  4. An interpretable whole-blood transcriptomic model for Parkinson disease identification and molecular profiling
    Y. Li, X. Yu, C. Peng
    medRxivPreprintAll rights reservedFull textNeurologymedRxiv
  5. Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review
    Michele Matarazzo, Per Borghammer, Inas Elsayed +7
    Movement DisordersPeer-reviewedCC BY-NC-ND11 citedNeurologyOpenAlex

Cite

BibTeXRIS
BibTeX
@article{wu2026eyemovementbased,
  title = {{Eye-movement-based machine learning for identifying Parkinson’s disease dementia in a retrospective cohort: an interpretable model-development study}},
  author = {Jing Wu and Qing Liu and Song Yang and Yuqing Zhang and Yuanlu Shu and Junwen Wang and Min Wu and Tian Tian},
  journal = {Frontiers in aging neuroscience},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13669113},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Eye-movement-based machine learning for identifying Parkinson’s disease dementia in a retrospective cohort: an interpretable model-development study
AU  - Jing Wu
AU  - Qing Liu
AU  - Song Yang
AU  - Yuqing Zhang
AU  - Yuanlu Shu
AU  - Junwen Wang
AU  - Min Wu
AU  - Tian Tian
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in aging neuroscience
UR  - https://europepmc.org/article/PMC/PMC13669113
SN  - 1663-4365
ER  -