الفهرس | Only 14 pages are availabe for public view |
Abstract Big Data Integration (BDI) is the key to unlock medical big data benefits. Because BDI increases data collaboration that helps big data analytics to be performed more accurately and thus extract the most effective medical meaningful insights. These meaningful insights help medical decision makers to best driving their works of the diagnosis and the treatment of diseases. But unfortunately, BDI still suffers from problems and challenges. The thesis focuses only on addressing three problems. First, the integration of medical text data represents a challenge for BDI due to its large volume, uncategorized form, and unstructured. Second, the high degree of semantic data heterogeneity problem prevents the integration of domain relevant data. Third, the increasing in the number of sources that needs to be integrated. |