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Pre-treatment growth and IGF-I deficiency as main predictors of response to growth hormone therapy in neural models
Mathematical models have been applied in prediction of growth hormone treatment effectiveness in children since the end of 1990s. Usually they were multiple linear regression models; however, there are also examples derived by empirical non-linear methods. Proposed solution consists in application o...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Bioscientifica Ltd
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793807/ https://www.ncbi.nlm.nih.gov/pubmed/29242356 http://dx.doi.org/10.1530/EC-17-0277 |