Difference between revisions of "The use of Machine Learning and Text Mining Techniques to Optimize Medicine Combinations"

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Glioblastoma is currently the most common brain tumor. This type of tumor spreads itself over the brain in such way that complete removal by section is almost impossible. Treatment is therefore limited to the use of medicine. However there is no single combination of medicine that can cure every patient. In most cases, the selection of medicine is depended on multiple variables. This study focusses on the use of machine learning and data mining techniques for the selection of these medicine.

Revision as of 21:55, 17 December 2015


has title::The use of Machine Learning and Text Mining Techniques to Optimize Medicine Combinations
status: ongoing
Master: project within::Information Sciences
Student name: student name::Tim Loyen
Dates
Start start date:=2016/04/01
End end date:=2015/06/30
Supervision
Supervisor: Marieke van Erp
Second supervisor: Victor de Boer
Company: has company::Vrije Universiteit Amsterdam
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

Glioblastoma is currently the most common brain tumor. This type of tumor spreads itself over the brain in such way that complete removal by section is almost impossible. Treatment is therefore limited to the use of medicine. However there is no single combination of medicine that can cure every patient. In most cases, the selection of medicine is depended on multiple variables. This study focusses on the use of machine learning and data mining techniques for the selection of these medicine.