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Currently, local utilities in the U.S. generate 12 percent more energy than they anticipate needing. Otherwise, if they experience a brownout or blackout, utility companies face heavy penalties from the government. “Most of that extra energy is going to waste,” WNCG Prof. Brian Evans states. “If utility companies had access to better information, they could predict user demand and how it evolves over the day. They could reduce energy waste by around four-to-six percent.”

As the adoption of Electronic Health Records (EHRs) increases in the USA, the complexity of EHR data is growing dramatically. EHR data now covers diverse information about patients, including diagnosis, medication, lab results, genomic information and clinical notes. However, such large volumes of information do not readily provide accurate and succinct patient representations for effective and customized healthcare.