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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.
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
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
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.
An example of a text mining protocol used in a study of protein-protein complexes, or protein docking [91] Text mining applications in the biomedical field include computational approaches to assist with studies in protein docking , [ 91 ] protein interactions , [ 92 ] [ 93 ] and protein-disease associations. [ 94 ]
From a historical viewpoint, medical informatics scientists (also known as medical informaticians) started to use artificial intelligence and Bayesian statistical methods in diagnosis and medical decision making, as early as in the 1970s. An example is the MYCIN system developed at Stanford University. The field has since evolved to use a wide ...
The advent of social media has recently led to new online research methods, for example data mining of large datasets from such media [6] or web-based experiments within social media that are entirely under the control of researchers, e.g. those created with the software Social Lab. [7]
Data about cybersecurity strategies from more than 75 countries. Tokenization, meaningless-frequent words removal. [366] Yanlin Chen, Yunjian Wei, Yifan Yu, Wen Xue, Xianya Qin APT Reports collection Sample of APT reports, malware, technology, and intelligence collection Raw and tokenize data available. All data is available in this GitHub ...