A Prediction Approach in Health Domain Combining Encoding Strategies and Neural Networks-Reference-Cited by-同舟云学术

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A Prediction Approach in Health Domain Combining Encoding Strategies and Neural Networks

Published:2022-10-18 Issue: Volume: Page:129-136
ISSN:2367-3370
Container-title:Advances on P2P, Parallel, Grid, Cloud and Internet Computing
language:
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Author:

Barolli Leonard,Ferraro Antonino

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19945-5_12

Reference23 articles.

1. Amato, F., Coppolino, L., Cozzolino, G., Mazzeo, G., Moscato, F., Nardone, R.: Enhancing random forest classification with NLP in DAMEH: a system for data management in ehealth domain. Neurocomputing 444, 79–91 (2021)

2. Yeun, E.J., Kwon, Y.M., Kim, J.A.: Psychometric testing of the depressive cognition scale in Korean adults. Appl. Nurs. Res. 25(4), 264–270 (2012)

3. Liu, Q., He, H., Yang, J., Feng, X., Zhao, F., Lyu, J.: Changes in the global burden of depression from 1990 to 2017: findings from the global burden of disease study. J. Psychiatric Res. 126, 134–140 (2020)

4. Cuellar, A.K., Johnson, S.L., Winters, R.: Distinctions between bipolar and unipolar depression. Clin. Psychol. Rev. 25(3), 307–339 (2005)

5. Baldessarini, R.J., Vázquez, G.H., Tondo, L.: Bipolar depression: a major unsolved challenge. Int. J. Bipolar Disord. 8(1), 1–13 (2020). https://doi.org/10.1186/s40345-019-0160-1

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1. Few Shot NER on Augmented Unstructured Text from Cardiology Records;Lecture Notes on Data Engineering and Communications Technologies;2024

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