Big data in Neurosurgery - Intelligent Support for Brain Tumor Consilium

Karol Kozak

Abstract

A brain tumor occurs when abnormal cells form within the brain. Medical imaging plays a central role in the diagnosis of brain tumors. When a brain tumor is diagnosed, a medical team will be formed (consilium) to assess the treatment options presented by the leading surgeon to the patient and his/her family. Using historical evidence-based healthcare data and information directly extracted from images to categorize them may support to increase decision for treatment of patient with brain tumor. Due to its complexity, cancer care is increasingly being dependent on multidisciplinary tumor consilium. That is why it is very important to avoid emotional and quick decisions done by members of consilium. Few studies have investigated how best to organize and run consilium in order to facilitates important decision about patient therapy. We developed and evaluated a multiparametric approach designed to improve the consilium ability to reach treatment decisions. In particular the use of discri
Author Karol Kozak (MISaF / IBI / DIT)
Karol Kozak,,
- Department of Information Technologies
Pages69-75
Publication size in sheets0.4
Book Shishkov Boris, Lazarov Andon Dimitrov, Shinohara Naoki, Maciaszek Leszek, Shishkov Blagovest (eds.): Proceedings of the Fourth International Conference on Telecommunications and Remote Sensing, 2015, SCITEPRESS, ISBN 978-989-758-152-6, 131 p.
Keywords in EnglishBig data in medicine, Machine learning, Neurosurgery, Consilium, Radiology
DOIDOI:10.5220/0005889600690075
URL http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=Ww1xxkblseA=&t=1
Languageen angielski
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Kozak_Big_data2015.pdf 1,22 MB
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