This dataset contains Synthea synthetic patient data used in building ML models for lung cancer risk prediction. The ML models are used to simulate ML-enabled LHS. This open dataset is part of the syn
List of assays, SNP site, primer and internal standard sequences, demographics, and transcript abundance (target gene molecules/106 ACTB molecules). Bold: Selected features. (XLSX 103Â kb)
本数据集是论文《Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography》的配套数据，包含模型验证所需的校准器、数据拆分映射、NLST数据集标注及模型文件等，共6个文件，支持Sybil深度学习模型的复现与应用。
