A5017830503- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Head and Neck Cancer Studies
- Fibroblast Growth Factor Research
- Inflammatory Biomarkers in Disease Prognosis
- Ear and Head Tumors
- Cancer, Hypoxia, and Metabolism
- Venous Thromboembolism Diagnosis and Management
- Trauma, Hemostasis, Coagulopathy, Resuscitation
Stomatology Hospital
2023-2025
Sun Yat-sen University
2023-2025
Hospital of Stomatology, Sun Yat-sen University
2023-2024
A hypercoagulable state exists in patients with oral squamous cell carcinoma (OSCC), but the role of platelets tumour microenvironment has not been explored. This study revealed status intratumoral plateletmicrothrombi (PLT-MT) and their clinicopathological relevance predictive value OSCC.
ABSTRACT Objectives Development of a prediction model using machine learning (ML) method for tumor progression in oral squamous cell carcinoma (OSCC) patients would provide risk estimation individual patient outcomes. Patients and Methods This predictive modeling study was conducted 1163 with OSCC from Hospital Stomatology, SYSU Cancer Center March 2009 to October 2021. Clinical, pathological, hematological features the were collected. Six ML algorithms explored, performance assessed by...