论文标题
人工智能支持贫血控制系统（AISACS），以防止维持血液透析患者的贫血
Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients
论文作者
论文摘要
贫血，用红细胞生成刺激的剂（ESA）和铁补充剂（ISS）用作预防措施，这给血液透析患者带来了重要的困难。然而，能够适当治疗此类药物的医生数量并不能跟上血液透析患者的快速增加。此外，ESA的高成本对医疗保险系统施加了沉重的负担。作者已经开发了一种使用经验丰富的医生的管理方向数据训练的人工智能支持的贫血控制系统（AISACS）。对于系统，适当的数据选择和纠正技术起着重要的作用。与ESA相关的决策构成了一个多类分类问题，其中引入了两步分类技术。几项验证表明，AISACS表现出高性能，正确分类率为72-87％，临床适当的分类率为92-98％。
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications appropriately is not keeping pace with the rapid increase of hemodialysis patients. Moreover, the high cost of ESAs imposes heavy burdens on medical insurance systems. An artificial-intelligence-supported anemia control system (AISACS) trained using administration direction data from experienced physicians has been developed by the authors. For the system, appropriate data selection and rectification techniques play important roles. Decision making related to ESAs poses a multi-class classification problem for which a two-step classification technique is introduced. Several validations have demonstrated that AISACS exhibits high performance with correct classification rates of 72-87% and clinically appropriate classification rates of 92-98%.
