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Transforming Medical Information Through Big Data

Doctor or healthcare professionals treat us according to recent scientific arrangement. EBM (Evidence Based Medicine) is the orthodox standard for the provision of healthcare. But, in the era of big data, it is about to change. Clinical trials work compares the new treatment to other treatments by separating random patients into different groups. There is a risk of methodological flaws and the small populations used. By mining the practice-based clinical data, i.e. actual patient records for information on who has what condition and what treatments are turning for better treatment of the individual. Almost 80% of medical information about patients forms of unstructured data. For better care of individuals and to understand about the health of the population, we need to be able to mine unstructured data. So before analyzing any data, the first thing is to extract the data from these diverse sources. Then turn that information into something that computers can break down. The data can then be dissected at an individual level to create a patient data model. Data theft can be scaled down by encrypting patient data. Read more about it in the article written by Bernard Marr (contributor) :  http://www.forbes.com/sites/bernardmarr/2016/02/16/how-big-data-is-transforming-medicine/#28d063381cd4

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