Search results
Results From The WOW.Com Content Network
In collaboration with the university and regional library in Münster, all gathered files are archived and allocated to every German library, securing a sustainable use of this meta-data-repository. The medical-data-portal is known as German (RIsources) and European research infrastructure (MERIL) and is developed by the Institute of Medical ...
Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to ...
The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research.
See what links here for where this template is used. Please add categories and interwiki links to the documentation subpage. The above documentation is transcluded from Template:Disclaimer header/doc .
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics , Biomedical informatics , and machine learning , with the goal of understanding biological and medical data.
BioData Mining is a peer-reviewed open access scientific journal covering data mining methods applied to computational biology and medicine established in 2008. It is published by BioMed Central and the editors-in-chief are Jason H. Moore and Nicholas Tatonetti (Cedars Sinai Medical Center).
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [ 52 ] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community.
The medical information provided on Wikipedia is, at best, of a general nature and cannot substitute for the advice of a medical professional (for instance, a qualified doctor/physician, nurse, pharmacist/chemist, and so on).