Large scale prediction of sick leave duration with nonlinear survival analysis algorithms-Reference-Cited by-同舟云学术

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Large scale prediction of sick leave duration with nonlinear survival analysis algorithms

Published:2022-07 Issue: Volume:198 Page:116760
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Béjar Javier^ORCID,Pérez Raquel^ORCID,Vilalta Armand^ORCID,Álvarez-Napagao Sergio^ORCID,Garcia-Gasulla Dario^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference13 articles.

1. Regression models and life-tables;Cox;Journal of the Royal Statistical Society. Series B. Statistical Methodology,1972

2. Evaluating costs and health consequences of sick leave strategies against pandemic and seasonal influenza in norway using a dynamic model;Edwards;BMJ Open,2019

3. Deep neural networks for survival analysis based on a multi-task framework;Fotso,2018

4. Pysurvival: Open source package for survival analysis modeling;Fotso,2019

5. Sequential model-based optimization for general algorithm configuration;Hutter,2011

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CoxNAM: An interpretable deep survival analysis model;Expert Systems with Applications;2023-10

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