Skip to content
DraconiticResearch
Search Sources API
182,460 studies31 sourcesUpdated 49 min ago
Peer-reviewedCC BY-NCBMJ open

Machine-learning model for distinguishing cytomegalovirus infection status in hospitalised patients with systemic lupus erythematosus: a retrospective cohort study with temporal validation.

9 affiliations
  1. 1Department of Infectious Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
  2. 2Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
  3. 3School of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, People's Republic of China.
  4. 4Department of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
  5. 5Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing, People's Republic of China.
  6. 6University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  7. 7Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China [email protected] [email protected].
  8. 8Department of Infectious Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China [email protected] [email protected].
  9. 9State Key Laboratory of Complex, Severe and Rare Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.

Related

  1. OA30 Distinguishing active tuberculosis from flare in a child with severe systemic lupus erythematosus: Diagnostic and therapeutic challenges in a high TB-burden setting
    Rheumatology advances in practicePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. Development and validation of a deep learning model for differentiating cytomegalovirus and herpes simplex virus esophagitis using endoscopic images
    Ji Eun Kim, Yeong Chan Lee, Young Eun Oh +6
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthCrossref
  3. Comparison Between Systemic Lupus Erythematosus Patients with and Without Family History of Systemic Lupus Erythematosus—A Single-Center Retrospective Study
    Joanna Kosałka-Węgiel
    Journal of clinical medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Psychiatric Characteristics and Mental Health Service Use Among Hospitalised Youth in Foster Care, Adoption, and Child Welfare Supervision: A Retrospective Comparative Study
    M. Solerdelcoll, G. Sugranyes, I. Baeza
    medRxivPreprintCC BY-NC-NDFull textPsychiatry & mental healthmedRxiv
  5. The PancreaSure Multianalyte Blood Test Performs Well at Distinguishing Early-Stage Pancreatic Ductal Adenocarcinoma from High-Risk Controls: A Retrospective Secondary Analysis
    Tamas Gonda, Salvatore Paiella, Rosalie C. Sears +10
    Journal of clinical medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
BibTeX
@article{qin2026machinelearning,
  title = {{Machine-learning model for distinguishing cytomegalovirus infection status in hospitalised patients with systemic lupus erythematosus: a retrospective cohort study with temporal validation.}},
  author = {Ling Qin and Junxian Hong and Jiaxuan Liu and Shuang Zhou and Jinjing Liu and Wei Cao and Quansheng Wu and Xiaofeng Zeng and Taisheng Li},
  journal = {BMJ open},
  year = {2026},
  month = oct,
  doi = {10.1136/bmjopen-2026-121354},
  url = {https://europepmc.org/article/MED/42849944},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Machine-learning model for distinguishing cytomegalovirus infection status in hospitalised patients with systemic lupus erythematosus: a retrospective cohort study with temporal validation.
AU  - Ling Qin
AU  - Junxian Hong
AU  - Jiaxuan Liu
AU  - Shuang Zhou
AU  - Jinjing Liu
AU  - Wei Cao
AU  - Quansheng Wu
AU  - Xiaofeng Zeng
AU  - Taisheng Li
PY  - 2026
DA  - 2026/10/08
JO  - BMJ open
DO  - 10.1136/bmjopen-2026-121354
UR  - https://europepmc.org/article/MED/42849944
SN  - 2044-6055
ER  -