Join the DZone community and get the full member experience. The 21st century has been an era of data-driven decisions.

It is said that the segments or industries that generate more data will grow faster and the organizations that this data to make important decisions will be ahead of the curve. When it comes to industries that generate huge data, healthcare is one among the top thanks to the several new methods of data collection, such as sensor-generated data.

Machine learning allows for building models to quickly analyze data and deliver results, leveraging both historical and real-time data. With machine learning, healthcare service providers can make better decisions on patient’s diagnoses and treatment options, which leads to the overall improvement of healthcare services.

Previously, it was challenging for healthcare professionals to collect and analyze the huge volume of data for effective predictions and treatments since there were no technologies or tools available. Now, with machine learning, it’s been relatively easy, as big data technologies such as Hadoop are mature enough for wide-scale adoption.

In fact, 54% of organizations are using or considering Hadoop as big data processing tool to get important insights on healthcare, according to the Ventana Research Survey. 94% of Hadoop users perform analytics on voluminous data that they believe was not possible before. Read more from dzone.com…

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