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An Adaptive Convolution Neural Network based Learning for Precision Medicine
Personalized medicine is also referred to as precision medicine is an approach for disease treatment and prevention by taking individual variability in genes, environment and lifestyle for each person. Learning for personalized medicine means that classifying individuals into sub groups based on the difference in their susceptibility to particular disease or in their response to specific treatment. By combining genomics, using big data analytic and considering population health unique treatments are designed for each individual. Personalized medicine has many applications within health care such as, detection and diagnosis of disease in highly specific manner, Prevention of disease, Reduction of trial-and-error prescriptions.
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