title: Dosage individualization of erythropoietin using a profile-dependent support vector regression.
abstract: The external administration of recombinant human erythropoietin is the chosen treatment for those patients with secondary anemia due to chronic renal failure in periodic hemodialysis. The objective of this paper is to carry out an individualized prediction of the EPO dosage to be administered to those patients. The high cost of this medication, its side-effects and the phenomenon of potential resistance which some individuals suffer all justify the need for a model which is capable of optimizing dosage individualization. A group of 110 patients and several patient factors were used to develop the models. The support vector regressor (SVR) is benchmarked with the classical multilayer perceptron (MLP) and the Autoregressive Conditional Heteroskedasticity (ARCH) model. We introduce a priori knowledge by relaxing or tightening the epsilon-insensitive region and the penalization parameter depending on the time period of the patients' follow-up. The so-called profile-dependent SVR (PD-SVR) improves results of the standard SVR method and the MLP. We perform sensitivity analysis on the MLP and inspect the distribution of the support vectors in the input and feature spaces in order to gain knowledge about the problem.
authors.affiliation: Digital Signal Processing Group, C/Dr. Moliner, 50. Dpt. Eng. Elec., Fac. Física, Universitat de València, Burjassot 46100, Spain. jose.d.martin@uv.es
authors.forename: José David
authors.initials: JD
authors.lastname: Martín-Guerrero
authors.forename: Gustavo
authors.initials: G
authors.lastname: Camps-Valls
authors.forename: Emilio
authors.initials: E
authors.lastname: Soria-Olivas
authors.forename: Antonio José
authors.initials: AJ
authors.lastname: Serrano-López
authors.forename: Juan José
authors.initials: JJ
authors.lastname: Pérez-Ruixo
authors.forename: Nicolas Víctor
authors.initials: NV
authors.lastname: Jiménez-Torres
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000743:Anemia, Hemolytic / Q000097:blood* / Q000188:drug therapy* / Q000209:etiology; D015331:Cohort Studies; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D004921:Erythropoietin / Q000008:administration & dosage*; D006454:Hemoglobins / Q000032:analysis*; D006801:Humans; D007279:Injections, Subcutaneous; D007676:Kidney Failure, Chronic / Q000097:blood / Q000150:complications / Q000628:therapy; D008875:Middle Aged; D016571:Neural Networks, Computer; D011994:Recombinant Proteins; D012043:Regression, Psychology; D006435:Renal Dialysis; D016896:Treatment Outcome
chemical_list: D006454:Hemoglobins; D011994:Recombinant Proteins; D004921:Erythropoietin