浙江大学医学院附属第四医院2020年-2025年肺癌真实世界临床数据集

该数据集来源于医院在肺癌患者门诊、住院及随访管理过程中产生的结构化临床数据，涵盖经匿名化处理的患者基本信息、门诊病史记录、胸部影像检查结果、病理确诊资料、实验室检验指标及手术治疗等关键信息。数据可用于支持肺癌的临床诊断、病情评估与专科运营管理，并为构建疾病进展预测、发病风险评估等智能模型提供基础，促进早期干预、降低并发症风险、缓解临床压力。在肺癌发病率持续上升的背景下，该数据资源有助于提升医院在精准医疗、健康管理和科研创新方面的综合能力。This dataset is sourced from structured clinical data generated by hospitals during the outpatient care, inpatient treatment, and follow-up management of lung cancer patients. It encompasses a range of critical anonymized information, including basic patient demographics, outpatient medical history records, chest imaging findings, pathologically confirmed diagnosis data, laboratory test indices, and surgical treatment records. This data can support clinical diagnosis, disease severity assessment, and specialized department operational management for lung cancer, while also serving as a foundational resource for developing intelligent models such as disease progression prediction and incidence risk assessment. Such applications can facilitate early intervention, reduce complication risks, and alleviate clinical workload pressure. Against the backdrop of the continuously increasing incidence of lung cancer, this data resource helps improve hospitals' comprehensive capabilities in precision medicine, health management, and scientific research and innovation.

搜集汇总

背景与挑战

背景概述

该数据集包含浙江大学医学院附属第四医院2020-2025年肺癌患者的匿名化临床数据，涵盖病史记录、检查结果、治疗信息等，可用于疾病诊断、风险评估及智能模型开发。该资源有助于提升精准医疗和科研创新能力，应对肺癌发病率上升的挑战。