Mathematic models of migraine
| Autor: | Federigo Sicuteri, Maria Nicolodi |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Complex disease
Genetic abnormality GENETIC ABNORMALITY Machine learning computer.software_genre Special Article Medicine Experimental model Migraine Research data Artificial neural network Crack propagation business.industry General Medicine medicine.disease Anesthesiology and Pain Medicine Wohler curve Mathematical process Neurology (clinical) Artificial intelligence Maths business Neuroscience computer |
| Zdroj: | The Journal of Headache and Pain |
| ISSN: | 1129-2377 1129-2369 |
| DOI: | 10.1007/s10194-003-0031-z |
| Popis: | This article describes the mathematical process of building a model of migraine syndrome guided by research data and evidences. The paper illustrates the construction of a new possible model of the evolution, in the time, of migraine. The model is an artificial network using cost-effective, conventional pure and mixed mathematical methods. It can enable to reconstruct the rules needed to give homogeneity to an incomplete data set on which we require a correct prediction and reproduction. Such a methodology represents an attempt to offer a complete output model consisting of a virtual, complex structure capable of simultaneously taking into account sparse and apparently incongruent evidences of a complex disease such as migraine. This is a model that addresses the complex rules aand relationships among inherited hyperalgesia, migraine stemming off and its further worsening. Such a construction is needed as a platform for any further artificial, non-linear neural network. |
| Databáze: | OpenAIRE |
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