Ensemble machine learning model incorporating radiomics and body composition for predicting intraoperative HDI in PPGL.

Yan FuXueying WangXiaoping YiXiao GuanChangyong ChenZaide HanGuanghui GongHongling YinLongfei LiuBihong T Chen

Published in: The Journal of clinical endocrinology and metabolism (2023)

The EL model combining preoperative CT-based body composition, tumor radiomics and clinical data could potentially help predict intraoperative HDI in patients with PPGL.

Keyphrases

body composition
resistance training
machine learning
bone mineral density
contrast enhanced
patients undergoing
lymph node metastasis
big data
computed tomography
magnetic resonance imaging
electronic health record
squamous cell carcinoma
magnetic resonance
dual energy
data analysis
monte carlo