Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BY 4.0Scientific Reports

Development and internal validation of survival models for predicting a composite clinical endpoint using clinical variables and quantitative SPECT/CT imaging features

  • Yuxin Xiao
  • Yuting Zhao
  • Zhifang Wu
  • Xiaoli Zhang
  • Yuetao Wang
  • Minfu Yang
  • Sijin Li
Open at sourceDOICite

Related

  1. Development and temporal validation of an explainable machine learning model for predicting in-hospital diabetic foot ulcer in patients with type 2 diabetes using inflammatory–nutritional composite indices
    Xue Wang, Chao Li, Yanan Tuo +4
    Frontiers in MedicinePeer-reviewedCC BYFull textEndocrinology & metabolismDOAJ
  2. Development of a machine learning-based multicenter study for predicting severe intraventricular hemorrhage in preterm infants using perinatal variables
    Fei Shen, Cheng Jin, Feixiang Wang +4
    Frontiers in neurologyPeer-reviewedCC BYFull textObstetrics, gynaecology & paediatricsEurope PMCCrossref
  3. Lifestyle, Dietary Habits, and Modifiable Risk Factors in Patients with Acute Pulmonary Embolism: Protocol for a Prospective Observational Study with Development and Validation of a Composite Lifestyle and Nutrition Questionnaire
    Carina Gib, Alina Anton, Andreea-Adriana Neamțu +8
    Journal of clinical medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Development and internal validation of a nomogram for predicting bacterial meningitis in preterm infants with late-onset sepsis
    Na Lu, Yu Lang, Leilei Shen +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthCrossref
  5. Development and internal validation of machine learning models for predicting lymph node metastasis in cutaneous head and neck melanoma
    Bingyu Cheng, Jianqun Yu, Qiang Ji
    Translational cancer researchPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{xiao2026development,
  title = {{Development and internal validation of survival models for predicting a composite clinical endpoint using clinical variables and quantitative SPECT/CT imaging features}},
  author = {Yuxin Xiao and Yuting Zhao and Zhifang Wu and Xiaoli Zhang and Yuetao Wang and Minfu Yang and Sijin Li},
  journal = {Scientific Reports},
  year = {2026},
  month = nov,
  doi = {10.1038/s41598-026-79118-5},
  url = {https://www.nature.com/articles/s41598-026-79118-5},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Development and internal validation of survival models for predicting a composite clinical endpoint using clinical variables and quantitative SPECT/CT imaging features
AU  - Yuxin Xiao
AU  - Yuting Zhao
AU  - Zhifang Wu
AU  - Xiaoli Zhang
AU  - Yuetao Wang
AU  - Minfu Yang
AU  - Sijin Li
PY  - 2026
DA  - 2026/11/02
JO  - Scientific Reports
DO  - 10.1038/s41598-026-79118-5
UR  - https://www.nature.com/articles/s41598-026-79118-5
SN  - 2045-2322
ER  -