Big data in healthcare and medicine refers to these various large and complex data which they are difficult to analyse and manage with traditional software or hardware big data analytics covers integration of heterogeneous data data quality control analysis modeling interpretation and validation application of big data analytics . Big data analytics in bioinformatics and healthcare merges the fields of biology technology and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management complete with interdisciplinary research resources this publication is an . Applying big data analytics in bioinformatics and medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field featuring coverage on relevant topics that include smart data proteomics medical data storage . As technology evolves and electronic data becomes more complex digital medical record management and analysis becomes a challenge in order to discover patterns and make relevant predictions based on large data sets researchers and medical professionals must find new methods to analyze and extract relevant health informationbig data analytics in bioinformatics and healthcare merges the . This paper surveys big data with highlighting the big data analytics in medicine and healthcare big data characteristics value volume velocity variety veracity and variability are described
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