Infographic: Healthcare is challenged by large amounts of data in motion that is diverse, unstructured and growing exponentially. Data constantly streams in through interconnected sensors, monitors and instruments in real-time faster than a physician or nurse can keep up.
When someone has suffered an irreversibly life-altering event, such as a traumatic brain injury, predictive maintenance of that impaired state is the best we can hope for. Of necessity, people with traumatic brain injuries must be kept under constant monitoring. In most intensive care units (ICUs
The University of California, Los Angeles (UCLA), announced their work to develop a bedside early-warning system for brain pressure in traumatic brain injury patients. At the core of this system is InfoSphere Streams, which can ingest and analyze, in real-time, huge volumes of fast-moving data –
The UCLA Department of Neurosurgery analyzes brain wave data to predict the rise of deadly brain pressure as part of a National Institute of Neurological Disorders and Stroke study. Knowing in advance that brain pressure could potentially rise in TBI patients gives doctors more time to prevent
Predictive analytics is not just about forecasting what might happen. It’s also about detecting the warning signs of bad things that, if we don’t act quickly, might prove catastrophic or highly disruptive.
In the engineering world, for example, many organizations use statistical tools to predict