An intelligent system approach for asthma prediction in symptomatic preschool children

DOI10.1155/2013/240182zbMath1275.92029OpenAlexW2010420719WikidataQ36729130 ScholiaQ36729130MaRDI QIDQ382549

Mohammad Hasan, H. S. Yoon

Publication date: 21 November 2013

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

Full work available at URL: https://doi.org/10.1155/2013/240182

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Medical applications (general) (92C50)

Related Items (1)

An intelligent system approach for asthma prediction in symptomatic preschool children

Cites Work

• An intelligent system approach for asthma prediction in symptomatic preschool children
• Correlation kernels for support vector machines classification with applications in cancer data
• The structured elastic net for quantile regression and support vector classification
• Principal component analysis of gait kinematics data in acute and chronic stroke patients
• Some results on Tchebycheffian spline functions and stochastic processes

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