The use of Machine Learning and Text Mining Techniques to Optimize Medicine Combinations
From Master Projects
| has title::The use of Machine Learning and Text Mining Techniques to Optimize Medicine Combinations | |
|---|---|
status: finished
| |
| 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.
