Personalised Modelling on SNPs Data for Crohn’s Disease Prediction
This paper presents a study for investigating the feasibility of applying personalised modelling on single nucleotide polymorphisms (SNPs) data for disease analysis. We have applied our newly developed integrated method for personalised modelling (IMPM) on a real-world biomedical classification problem, which makes use of the SNPs data for crohn’s disease prediction. IMPM method allows for adaption and monitoring an individual’s model and outperforms global modelling methods for the SNPs data classification. Personalised modelling method produces a unique personalised profiling for an individual, which holds the promise of a new generation of analytical tools that can be used for personalised treatment.
KeywordsIntegrated method for personalised modelling IMPM SNPs evolutionary computation
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