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

10/06/2020
by   Toshiaki Ohara, et al.
0

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 clinically appropriate classification rates of 92-98

READ FULL TEXT
research
05/11/2012

Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)

This is the Proceedings of the Twenty-Sixth Conference on Uncertainty in...
research
03/23/2023

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

Molecular classification has transformed the management of brain tumors ...
research
02/13/2023

Self-mediated exploration in artificial intelligence inspired by cognitive psychology

Exploration of the physical environment is an indispensable precursor to...
research
10/19/2018

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic

Transportation and traffic are currently undergoing a rapid increase in ...
research
04/27/2021

Controlling earthquake-like instabilities using artificial intelligence

Earthquakes are lethal and costly. This study aims at avoiding these cat...
research
03/31/2021

Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification

Cerebral hematoma grows rapidly in 6-24 hours and misprediction of the g...
research
04/09/2021

Assessment of the influence of features on a classification problem: an application to COVID-19 patients

This paper deals with an important subject in classification problems ad...

Please sign up or login with your details

Forgot password? Click here to reset