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Advances in Statistical Medicine
Author(s) -
Sujay Datta,
Xiao-Qin Xia,
Samsiddhi Bhattacharjee,
Zhenyu Jia
Publication year - 2014
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2014/316153
Subject(s) - computer science , medicine , data science , computational biology , biology
We are not even halfway through the second decade of the 21st century and there is already ample evidence that it is going to be the century of biotechnology, leading to unprecedented breakthroughs in the medical sciences and revolutionizing everything from drug discovery to healthcare delivery. The rapid advancement in high-performance computing that took place in the last quarter of the last century has been a key driving force in this revolution, enabling us to generate, store, query, and transfer huge amounts of medical data. This is where statisticians come into the picture, lending their expertise in extracting information from data and converting that information to medical knowledge.

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