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Published/Copyright: June 1, 2016

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"Frontmatter" Bio-Algorithms and Med-Systems, vol. 12, no. 2, 2016, pp. i-iii. https://doi.org/10.1515/bams-2016-frontmatter2

(2016). Frontmatter. Bio-Algorithms and Med-Systems, 12(2), i-iii. https://doi.org/10.1515/bams-2016-frontmatter2

(2016) Frontmatter. Bio-Algorithms and Med-Systems, Vol. 12 (Issue 2), pp. i-iii. https://doi.org/10.1515/bams-2016-frontmatter2

"Frontmatter" Bio-Algorithms and Med-Systems 12, no. 2 (2016): i-iii. https://doi.org/10.1515/bams-2016-frontmatter2

Frontmatter. Bio-Algorithms and Med-Systems. 2016;12(2): i-iii. https://doi.org/10.1515/bams-2016-frontmatter2

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Published Online: 2016-6-1

Published in Print: 2016-6-1

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Influence of neural network structure and data-set size on its performance in the prediction of height of growth hormone-treated patients
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A stepwise protocol for neural network modeling of persistent postoperative facial pain in chronic rhinosinusitis
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Data mining with Random Forests as a methodology for biomedical signal classification

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Frontmatter
Review
Regeneration of knee joint menisci – methods review
Original Articles
Influence of neural network structure and data-set size on its performance in the prediction of height of growth hormone-treated patients
Empirical wavelet transform-based delineator for arterial blood pressure waveforms
Independent component analysis of EEG data for EGI system
Model of dental braces for palatal suture expansion with tension analysis of two titanium alloys: Ti-13Nb-13Zr and Ti-6Al-4V
A stepwise protocol for neural network modeling of persistent postoperative facial pain in chronic rhinosinusitis
Short Communication
Data mining with Random Forests as a methodology for biomedical signal classification