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The research is already starting to change nosology, as the field of disease classification is known.
One area that might benefit from genetic disease classification is psychiatry.
This has led to advances, but the standardization of disease classification requires the work of experts.
The SVM approach provided better results than the ANNs for disease classification.
risk injury failure loss end-stage risk injury failure loss end-stage
This paper presents three soft-computing approaches for disease classification, of artificial neural networks (ANNs), and support vector machines (SVMs).
Furthermore, some computational models have been constructed for disease classification and prediction based on metagenomic data.
We sought to compare the chronic lung disease classification captured by the 2 methods.
Demographic information was collected, as was information regarding disease classification and degree of immunosuppression.
Microarrays can be used to study disease pathophysiology and disease classification.
Computational approaches to disease classification include cluster analysis and supervised learning techniques.
More suggestions(15)
infection classification
disease characterisation
dengue classification
disease grade
morbidity classification
disease categorisation
health classification
disease categorization
disease typology
disease division
malaria classification
disease rating
disorder classification
pneumonia classification
virus classification
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