布拉格治疗疗效预测因子数据集

整合苏州大学附属第二医院肿瘤诊疗中心布拉格治疗中心患者的临床检测指标，通过数据预处理、构建端到端的深度学习模型等过程，旨在预测接受晚期肿瘤患者接受布拉格治疗后的疗效，为临床诊疗过程中优势人群筛选提供有力工具，实现医疗资源的合理分配，包括基本信息、淋巴亚群结果、细胞因子等。

This dataset aggregates clinical test indicators of patients treated at the Bragg Therapy Center, Cancer Diagnosis and Treatment Center, the Second Affiliated Hospital of Soochow University. Through data preprocessing, construction of end-to-end deep learning models and other related processes, it aims to predict the therapeutic efficacy of patients with advanced tumors after receiving Bragg therapy, providing a robust tool for screening optimal patient populations during clinical diagnosis and treatment to enable rational allocation of medical resources. The dataset includes basic patient information, lymphocyte subset assay results, cytokines and other relevant clinical indicators.

搜集汇总

数据集介绍

特点

布拉格治疗疗效预测因子数据集整合了苏州大学附属第二医院肿瘤诊疗中心患者的临床检测指标，通过深度学习模型预测晚期肿瘤患者接受布拉格治疗后的疗效。该数据集应用于临床决策服务、靶向治疗手段开发和肿瘤治疗优势人群筛选，数据格式为excel。