Applications of Big Data in Science
The main application of big data in science is its use in healthcare. Big data is being used more and more across the healthcare industry with increasing amounts of data being collected in relation to healthcare. Whether it be for the hospital staff managing medical records, doctors evaluating a patient, a pharmaceutical company developing new medicines or helping an individual stay healthy, big data always has an important role to play.
Key Applications of Big Data in Healthcare include:
Prevention/Detection - Big data and analytics are used along with specialised IoT monitoring devices to help spot when a person has or is likely to get a certain disease or medical condition, drastically improving their outlook.
Personalisation - Using personal data on an individual like their genetics, lifestyle and physical traits to give doctors more informed decision making.
Improved Diagnosis - Big data can be used along with highly trained AI algorithms to help spot anything that could have been missed by doctors in a scan or x-ray, leading to a more informed diagnosis.
Drug Research - Drug companies utilise big data when analysing large data sets during clinical trial periods of testing new drugs.
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