An integration of decision tree and visual analysis to analyze intracranial pressure

Soo Yeon Ji, Kayvan Najarian, Toan Huynh, Dong Hyun Jeong

Research output: ResearchChapter

Abstract

In Traumatic Brain Injury (TBI), elevated Intracranial Pressure (ICP) causes severe brain damages due to hemorrhage and swelling. Monitoring ICP plays an important role in the treatment of TBI patients because ICP is considered a strong predictor of neurological outcome and a potentially amenable method to treat patients. However, it is difficult to predict and measure accurate ICP due to the complex nature of patients’ clinical conditions. ICP monitoring for severe TBI patient is a challenging problem for clinicians because traditionally known ICP monitoring is an invasive procedure by placing a device inside the brain to measure pressure. Therefore, ICP monitoring might have a high infection risk and cause medical complications. In here, an ICP monitoring using texture features is proposed to overcome this limitation. The combination of image processing methods and a decision tree algorithm is utilized to estimate ICP of TBI patients noninvasively. In addition, a visual analytics tool is used to conduct an interactive visual factor analysis and outlier detection.

LanguageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages405-419
Number of pages15
Volume1598
DOIs
StatePublished - 2017

Publication series

NameMethods in Molecular Biology
Volume1598
ISSN (Print)1064-3745

Fingerprint

Decision Trees
Intracranial Pressure
Traumatic Brain Injury
Brain
Intracranial Hypertension
Statistical Factor Analysis
Hemorrhage
Pressure
Equipment and Supplies
Infection
Therapeutics

Keywords

  • CART
  • Image processing
  • Intracranial pressure
  • Traumatic brain injuries
  • Visual analytics

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Ji, S. Y., Najarian, K., Huynh, T., & Jeong, D. H. (2017). An integration of decision tree and visual analysis to analyze intracranial pressure. In Methods in Molecular Biology (Vol. 1598, pp. 405-419). (Methods in Molecular Biology; Vol. 1598). Humana Press Inc.. DOI: 10.1007/978-1-4939-6952-4_21

An integration of decision tree and visual analysis to analyze intracranial pressure. / Ji, Soo Yeon; Najarian, Kayvan; Huynh, Toan; Jeong, Dong Hyun.

Methods in Molecular Biology. Vol. 1598 Humana Press Inc., 2017. p. 405-419 (Methods in Molecular Biology; Vol. 1598).

Research output: ResearchChapter

Ji, SY, Najarian, K, Huynh, T & Jeong, DH 2017, An integration of decision tree and visual analysis to analyze intracranial pressure. in Methods in Molecular Biology. vol. 1598, Methods in Molecular Biology, vol. 1598, Humana Press Inc., pp. 405-419. DOI: 10.1007/978-1-4939-6952-4_21
Ji SY, Najarian K, Huynh T, Jeong DH. An integration of decision tree and visual analysis to analyze intracranial pressure. In Methods in Molecular Biology. Vol. 1598. Humana Press Inc.2017. p. 405-419. (Methods in Molecular Biology). Available from, DOI: 10.1007/978-1-4939-6952-4_21
Ji, Soo Yeon ; Najarian, Kayvan ; Huynh, Toan ; Jeong, Dong Hyun. / An integration of decision tree and visual analysis to analyze intracranial pressure. Methods in Molecular Biology. Vol. 1598 Humana Press Inc., 2017. pp. 405-419 (Methods in Molecular Biology).
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