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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.
Promising text mining methods such as iProLINK (integrated Protein Literature Information and Knowledge) have been developed to curate data sources that can aid text mining research in areas of bibliography mapping, annotation extraction, protein named entity recognition, and protein ontology development. [96]
Besides improving the quality of documentation forms by reusing reliable forms and data-models (Secondary Use, Best Practise), the comparability of research outcomes shall be enhanced. The portal is mainly established for medical professionals, for example: Medical doctors; Medical Information Scientist; Data manager; Medical information specialist
The data are stored electronically by the CDC in the Vaccine Safety Datalink (VSD). VAERS was established in 1990 and is managed jointly by the FDA and the CDC. [ 5 ] It is meant to act as a sort of "early warning system" [ 6 ] —a way for physicians and researchers to identify possible unforeseen reactions or side effects of vaccination for ...
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.
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure
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 ).
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 ...