Szczegóły publikacji
Opis bibliograficzny
Neural modelling of growth hormone therapy for the prediction of therapy results / Urszula SMYCZYŃSKA, Joanna Smyczyńska, Ryszard TADEUSIEWICZ // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2015 — vol. 11 iss. 1, s. 33–45. — Bibliogr. s. 44–45, Abstr.
Autorzy (3)
- AGHSmyczyńska Urszula
- Smyczyńska Joanna
- AGHTadeusiewicz Ryszard
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 89010 |
|---|---|
| Data dodania do BaDAP | 2015-05-05 |
| DOI | 10.1515/bams-2014-0021 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Bio-Algorithms and Med-Systems |
Abstract
In this paper, we presented the problem of predicting response to recombinant human growth hormone (GH) treatment in GH-deficient children. Such a prediction can be done by techniques of mathematical modelling and is important because the therapy consists of daily injections and is expensive; thus, it should be administered only to those patients who will, with high probability, benefit from it. Until now, the leading methodological approach to this problem was multiple regression analysis. Several authors demonstrated that it is possible to derive useful models by this method; however, it has some obvious limitations that can be avoided with the use of the proposed neural network approach.
