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Download Biomedical Informatics: Discovering Knowledge in Big Data by Andreas Holzinger PDF

By Andreas Holzinger

ISBN-10: 331904527X

ISBN-13: 9783319045276

This e-book offers a wide review of the subject Bioinformatics with specialise in information, info and information. From info acquisition and garage to visualization, ranging via privateness, regulatory and different useful and theoretical themes, the writer touches a number of basic elements of the leading edge interface among clinical and expertise domain names that's Biomedical Informatics. every one bankruptcy begins via supplying an invaluable stock of definitions and wide-spread acronyms for every subject and through the textual content, the reader reveals numerous real-world examples, methodologies and concepts that supplement the technical and theoretical heritage. This new version comprises new sections on the finish of every bankruptcy, referred to as "future outlook and study avenues," supplying tips to destiny demanding situations. at first of every bankruptcy a brand new part known as "key problems", has been additional, the place the writer discusses attainable traps and unsolvable or significant difficulties.

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Extra resources for Biomedical Informatics: Discovering Knowledge in Big Data

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But as knowledge of the fetus and fetal development progresses by sequencing fetal DNA and RNA, new treatment opportunities will emerge. Tanaka (2010) labels two future concepts in medicine and health care (Slide 1-52): 1. “Deeper” towards individualized medicine: Omics-based medicine and systems will realize a new personalized and predictive medicine. 2. “Broader” towards ubiquitous health care: preventive medicine, ambient assisted living, and ubiquitous home health care and wellness. A new “translational informatics” plays an important role for deriving clinically meaningful information from the vast amount of omics data.

2000). Ubicomp in Health is promising (Varshney 2009) and may address such issues see Slide 1-35: Slide 1-35: Pervasive Health Computing An example for the application of Ubicomp in the area of Ambient Assisted Living: RFID technology for localizing elderly people, suffering from dementia (Holzinger et al. 2008b). A further example for Ubicomp technologies can be seen in the future care lab of the RWTH Aachen (Slide 1-37): An integrated set of smart sensor technologies provides unobtrusive monitoring of a patient’s vital health functions, such as: (a) A smart floor, providing location tracking of multiple persons, fall detection, and weight measurement.

With the launch of open data government initiatives the open data movement gained momentum (Shadbolt et al. 2012) and some speak already about an Open Knowledge Foundation (Molloy 2011). Consequently, there are plenty of research challenges on this topic (Yildirim et al. 2013). ” Hence, it varies during time, during the course of diseases and differs among sites of diseases, unlike the “germ line” genome sequences in tailored medicine which remain the same during the whole life. So, the Omics information lies at the intermediate level of the hierarchy so that the relation to the clinical phenotype is much closer to bring about the predictive medicine.

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