Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 18 min ago
Peer-reviewedCC BYCureus

Clinicopathological Machine Learning Models for Mortality Risk Prediction in Head and Neck Squamous Cell Carcinoma: A Retrospective Analysis of the The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma (TCGA-HNSC) Cohort

  1. 1Molecular Pathology, Dow University of Health Sciences, Karachi, PAK
  2. 2Laboratory Medicine, King Fahd Military Medical Complex, Dhahran, SAU

Related

  1. Machine Learning Prediction of 90-Day Readmission and Mortality in General Internal Medicine: A Retrospective Cohort Study
    Laila Al Wahaibi, Said Al Jaadi, Mohammed Al-Hinai +1
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. A machine learning-derived aging index for risk stratification and mortality prediction in cardiovascular-kidney-metabolic syndrome: A retrospective cohort study
    Zhengyang Zhu, Kejun Ren, Dong Wang +4
    PLOS MedicinePeer-reviewedCC BY 4.0Full textCardiovascular medicineEndocrinology & metabolismPLOS
  3. Comparison of Internal Validation Strategies for Estimating Machine Learning Model Performance in One-Year Mortality Prediction in Hepatocellular Carcinoma
    Zeynep Kucukakcali, Sami Akbulut, Kemal Baris Sarici
    Journal of Clinical MedicinePeer-reviewedCC BY 4.0Full textGeneral medicineCrossrefEurope PMC
  4. Cardiac troponin T and 28-day mortality in traumatic brain injury: a retrospective cohort study and machine learning prediction model.
    Liwen Zhang, Wenwen Hu, Wenjie He +2
    Frontiers in neurologyPeer-reviewedCC BYFull textNeurologyEurope PMCCrossref
  5. On-Device ECG and Vital-Sign Prediction of 24-Hour Mortality and Unplanned ICU Admission in Emergency Department Patients: A Retrospective Evaluation of MEDI-AI
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
BibTeX
@article{chaudhry2026clinicopathological,
  title = {{Clinicopathological Machine Learning Models for Mortality Risk Prediction in Head and Neck Squamous Cell Carcinoma: A Retrospective Analysis of the The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma (TCGA-HNSC) Cohort}},
  author = {Sharjeel Chaudhry and Zarmina Ehtesham and Fatimah AL- Ayiedh and Bader H Alqurouni and Fahad D Almutairi},
  journal = {Cureus},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13653043},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Clinicopathological Machine Learning Models for Mortality Risk Prediction in Head and Neck Squamous Cell Carcinoma: A Retrospective Analysis of the The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma (TCGA-HNSC) Cohort
AU  - Sharjeel Chaudhry
AU  - Zarmina Ehtesham
AU  - Fatimah AL- Ayiedh
AU  - Bader H Alqurouni
AU  - Fahad D Almutairi
PY  - 2026
DA  - 2026/10/16
JO  - Cureus
UR  - https://europepmc.org/article/PMC/PMC13653043
SN  - 2168-8184
ER  -