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Construction and evaluation of leukemia suicide risk predictive model based on Seer database

Bibliographic Data

ID15526870
AuthorsShan Zheng (0000-0002-0901-7031, Chinese Academy of Sciences), Yuxin Tong (0000-0002-2775-6057, Chinese Academy of Sciences), Jiayi Chen (0000-0001-5943-4709, Chinese Academy of Sciences), Linlin Yang (0000-0001-8540-5522, Chinese Academy of Sciences), Yamin Tan (0009-0003-6120-8649, Chinese Academy of Sciences, corresponding author)
Year2025
Volume16
Pages1506550-1506550
Publication date2025-02-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2025.1506550
PMID40060745
OpenAlexW4407828664
LanguageEN
References cited34

We have successfully developed an intuitive and robust predictive model for assessing the suicide risk among leukemia patients. This model holds the potential to contribute to the reduction of preventable deaths

Database · Leukemia · Cancer survivorship and care · Computer Science · Folate and B Vitamins Research · Glutathione Transferases and Polymorphisms · Medicine · Internal Medicine · Oncology

  • Suicide

    Seena Fazel, Bo Runeson et al.•New England Journal of Medicine•2020

  • Cancer Statistics, 2021

    Open Access•Rebecca L Siegel, Kimberly D Miller et al.•CA: A Cancer Journal for Clinicians•2021

  • Direct Estimation of Alcohol-Attributable Fractions for Suicide in the United States, 2021

    Julien Robitaille, Jurgen Rehm et al.•American Journal of Public Health•2025

  • Identifying latent themes in suicide among black and white adolescents and young adults using the National Violent Death Reporting System, 2013-2019

    Open Access•Julie A Phillips, Thomas R Davidson et al.•Social Science & Medicine•2023

Citation velocityhistorical
Highly citedNo

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