Individualization of pharmacological anemia management using reinforcement learning

Neural Networks

Volumn 18, Issue 5-6, 2005, Pages 826-834

  Gaweda, Adam E ^a   Muezzinoglu, Mehmet K ^b   Aronoff, George R ^a   Jacobs, Alfred A ^a   Zurada, Jacek M ^b   Brier, Michael E ^a,c  

^a University of Louisville School of Medicine   (United States)

^b University of Louisville   (United States)

^c NONE   (United States)

Author keywords

Anemia management; Drug dosing; Reinforcement learning

Indexed keywords

APPROXIMATION THEORY; DYNAMIC PROGRAMMING; PATIENT TREATMENT;

ANEMIA MANAGEMENT; DRUG DOSING; EFFECTIVE MANAGEMENT; REINFORCEMENT LEARNING-BASED APPROCAH;

LEARNING SYSTEMS;

ERYTHROPOIETIN; HEMOGLOBIN; RECOMBINANT ERYTHROPOIETIN;

ANEMIA; ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; CONTROLLED STUDY; DISEASE ASSOCIATION; DRUG DOSE REGIMEN; HUMAN; KIDNEY FAILURE; LEARNING; METHODOLOGY; PRIORITY JOURNAL; REINFORCEMENT; SIMULATION; TREATMENT OUTCOME; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CLASSIFICATION; METABOLISM; PROBABILITY;

ALGORITHMS; ANEMIA; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; ERYTHROPOIETIN, RECOMBINANT; HEMOGLOBINS; HUMANS; MARKOV CHAINS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); REINFORCEMENT (PSYCHOLOGY);

EID: 27744484541     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.020     Document Type: Conference Paper

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