arXiv · cs.AI · Fan Ma, Yuntian Liu, Xiang Lan, Weipeng Zhou, Jun Ni, Mauro Giuffr\`e, Lingfei Qian, Xueqing Peng, Yujia Zhou, Ruey-Ling Weng, Huan He, Lu Li, Huiyuan Wang, Qingyu Chen, Andrew Loza, Laila Rasmy, Degui Zhi, Yuan Lu, Chenjie Zeng, Joshua C Denny, Lee Schwamm, Daniella Meeker, Brian Ondov, Lucila Ohno-Machado, Yong Chen, Hua Xu · 12 小时前模型评分55
ReClaim 用438亿条医保理赔记录训练医疗基础模型
Foundation Models to Unlock Real-World Evidence from Nationwide Medical Claims
导读
研究团队发布 ReClaim，一组基于 MarketScan 研究数据库中超过2亿参保人的438亿条理赔记录、从零预训练得到的生成式基础模型，训练数据截止2022年底。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “Here we present ReClaim, a family of generative foundation models built on 43.8 billion claims records from more than 200 million enrollees in the MarketScan Research Databases.”
- “with a training cutoff at the end of 2022”
- “Code is available at this https URL .”
来源：arXiv · cs.AI · arxiv.org