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Neural networks and deep learning: a brief introduction

Adrian Iustin Georgevici| Marius Terblanche
Editorial
Online First ™ - February , 2019

Pages 1 - 3

No abstract available.

References

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  2. Aczon M, Ledbetter D, Ho L, Gunny A, Flynn A, Williams J, Wetzel R (2017) Dynamic mortality risk predictions in pediatric critical care using recurrent neural networks. arXiv 1701.06675
  3. Arguello Casteleiro M, Maseda Fernandez D, Demetriou G, Read W, Fernandez-Prieto M, Des Diz J, Nenadic G, Keane J, Stevens R (2017) A case study on sepsis using PubMed and deep learning for ontology learning. Informat Health 235:516–520
  4. Raghu A, Komorowski M, Ahmed I, Celi L, Szolovits P, Ghassemi M (2017) Deep reinforcement learning for sepsis treatment. arXiv 1711.09602
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  7. Avati A, Jung K, Harman S, Downing L, Ng A, Shah NH (2017) Improving palliative care with deep learning. In: 2017 IEEE international conference on bioinformatics and biomedicine (BIBM), Kansas City, 2017, pp. 311–316. https://doi.org/10.1109/BIBM.2017.8217669
  8. Carneiro G, Oakden-Rayner L, Bradley AP, Nascimento J, Palmer L (2017) Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. In: 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017), Melbourne, 2017, pp. 130–134. https://doi.org/10.1109/ISBI.2017.7950485
  9. Beaulieu-Jones BK, Orzechowski P, Moore JH (2017) Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III critical care database. bioRxiv 5:177428
  10. Goodfellow I, Bengio Y, Courville A, Bengio Y (2016) Deep learning. MIT Press, Cambridge
  11. Miotto R, Wang F, Wang S, Jiang X, Dudley JT (2017) Deep learning for healthcare: review, opportunities and challenges. Brief Bioinform 19(6):1236–1246
  12. Mamoshina P, Vieira A, Putin E, Zhavoronkov A (2016) Applications of deep learning in biomedicine. Mol Pharm 13:1445–1454
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