肺癌科研数据集

本数据集是由我司构建的一个医疗文本数据集，可用于大模型预训练、监督微调等场景。该数据集汇聚了大量的真实肺癌患者临床数据，通过知识抽取技术，系统化整理肿瘤大小、肿瘤转移情况、吸烟史、吸烟时长等肺癌专病库字段，为医疗研究、智能诊断、辅助决策提供坚实的数据支撑，加速医学领域的创新应用。数据集规模达到60专病库字段，涵盖1万次就诊数据。

This medical text dataset was constructed by our company, and can be utilized for scenarios including large language model (LLM) pre-training, supervised fine-tuning and other related applications. It aggregates a large volume of real clinical data from lung cancer patients, and systematically organizes specialized lung cancer database fields such as tumor size, tumor metastasis status, smoking history and smoking duration via knowledge extraction techniques, providing robust data support for medical research, intelligent diagnosis and auxiliary decision-making, and accelerating innovative applications within the medical field. The dataset includes 60 specialized lung cancer database fields and covers 10,000 patient visit records.

搜集汇总

数据集介绍

特点

肺癌科研数据集是一个包含60个专病库字段和1万次就诊数据的医疗文本数据集，主要用于医疗研究、智能诊断和辅助决策，应用场景包括临床决策支持、药物研发和医疗资源优化等。