A Novel Clinical Decision Support System Using Improved Adaptive Genetic Algorithm for the Assessment of Fetal Well-Being

A novel clinical decision support system is proposed in this paper for evaluating the fetal well-being from the cardiotocogram (CTG) dataset through an Improved Adaptive Genetic Algorithm (IAGA) and Extreme Learning Machine (ELM). IAGA employs a new scaling technique (called sigma scaling) to avoid...

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Detalles Bibliográficos
Autores principales: Ravindran, Sindhu, Jambek, Asral Bahari, Muthusamy, Hariharan, Neoh, Siew-Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352501/
https://www.ncbi.nlm.nih.gov/pubmed/25793009
http://dx.doi.org/10.1155/2015/283532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352501/
https://www.ncbi.nlm.nih.gov/pubmed/25793009
http://dx.doi.org/10.1155/2015/283532

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