Non-invasive Intracranial Pressure classification using Strong Jumping Emerging Patterns

In neurosurgery, information about condition of Intracranial Pressure (ICP) is important for diagnosing and treating brain tumor or traumatic brain injury (TBI). Invasive measurement using ICP monitoring is the standard method for getting information about Intracranial Pressure (ICP). In some case, related with availability of facility and risk of performing surgery in invasive measurement, non-invasive method is needed. In this paper, the non-invasive method for getting ICP condition uses the level of Superoxide Dismutase (SOD), Catalase (CAT), Nicotinamide Adenine Dinucleotide Phosphate (NADPH), and Malondialdehyde (MDA) as oxidative stress indicators. Using these indicators, ICP would be classified into normal, low, and high condition. For classification purpose, we propose Strong Jumping Emerging Patterns (SJEPs) as a classification method, and for discretization purpose, we use Entropy method.