Artificial intelligence supported anemia control system (Aisacs) to prevent anemia in maintenance hemodialysis patients

Toshiaki Ohara, Hiroshi Ikeda, Yoshiki Sugitani, Hiroshi Suito, Viet Quang Huy Huynh, Masaru Kinomura, Soichiro Haraguchi, Kazufumi Sakurama

Research output: Contribution to journalArticlepeer-review

Abstract

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%.

Original languageEnglish
Pages (from-to)1831-1839
Number of pages9
JournalInternational journal of medical sciences
Volume18
Issue number8
DOIs
Publication statusPublished - 2021

Keywords

  • Anemia
  • Artificial intelligence
  • Chronic kidney disease
  • Erythropoiesis-stimulating agents
  • Hemodialysis
  • Iron

ASJC Scopus subject areas

  • Medicine(all)

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