Big Data Analytics In Bioinformatics And Healthcare Pdf

big data analytics in bioinformatics and healthcare pdf

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This paper surveys big data with highlighting the big data analytics in medicine and healthcare.

Partizanska bb, Bitola, Republic of Macedonia. 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. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various — omics data genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics , biomedical data and electronic health records data. We underline the challenging issues about big data privacy and security.

Big Data Analytics in Medicine and Healthcare

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Metrics details. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis in order to derive meaningful information.

Big data in healthcare: management, analysis and future prospects

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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 information. 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 essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information. While emerging technology has made data entry much easier, it also presents a unique set of challenges for researchers and medical professionals.


Also, the healthcare is one of the world's largest and fastest growing industries [​]. In health sciences, big data in many fields such as.


Impact of Big Data Analytics in Bioinformatics: A Literature Review

The concept of Big Data is popular in a variety of domains. The purpose of this review was to summarize the features, applications, analysis approaches, and challenges of Big Data in health care. Big Data in health care has its own features, such as heterogeneity, incompleteness, timeliness and longevity, privacy, and ownership.

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Impact of Big Data Analytics in Bioinformatics: A Literature Review

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