Predicting length of stay in hospitalized patients using SSL algorithms-Reference-Cited by-同舟云学术

Predicting length of stay in hospitalized patients using SSL algorithms

Published:2018-06-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion
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Author:

Livieris Ioannis E.¹,Dimopoulos Ioannis F.²,Kotsilieris Theodore²,Pintelas Panagiotis³

Affiliation:

1. Department of Computer Engineering & Informatics, Technological Educational Institute of Western Greece, Antirrio, Greece GR

2. Department of Business Administration (LAIQDA Lab), Technological Educational Institute of Peloponnese, Kalamata, Greece GR

3. Department of Mathematics, University of Patras, Patras, Greece GR

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3218585.3218588

Reference36 articles.

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3. Hierarchical Genetic Algorithm and Fuzzy Radial Basis Function Networks for Factors Influencing Hospital Length of Stay Outliers

4. A. Blum and T. Mitchell. 1998. Combining labeled and unlabeled data with co-training. In 11th annual conference on Computational learning theory. ACM 92--100. 10.1145/279943.279962 A. Blum and T. Mitchell. 1998. Combining labeled and unlabeled data with co-training. In 11th annual conference on Computational learning theory. ACM 92--100. 10.1145/279943.279962

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