A comparative study on the prediction of occupational diseases in China with hybrid algorithm combing models

DOI10.1155/2019/8159506zbMath1429.92085OpenAlexW2976550481WikidataQ90992182 ScholiaQ90992182MaRDI QIDQ2332579

Huan Yan, Jiwen Liu, Yaoqin Lu, Lijiang Zhang

Publication date: 4 November 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/8159506

zbMATH Keywords

hybrid algorithm combing modelsoccupational diseases

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50) Labor markets (91B39)

Uses Software

• R

Cites Work

• Unnamed Item
• Checking fine and Gray subdistribution hazards model with cumulative sums of residuals
• The Fine-Gray model under interval censored competing risks data
• Spatially localized structures in the Gray–Scott model

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