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The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

, , , , , , and . Int. J. Medical Informatics, (2020)

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Developing an Intelligent Cross-Facility-Based Therapeutic Decision Reminder Engine., , , , , and . ICHI, page 308. IEEE Computer Society, (2016)On construction of a virtual GPU cluster with InfiniBand and 10 Gb Ethernet virtualization., , , , and . J. Supercomput., 74 (12): 6876-6897 (2018)Utilization of Electronic Medical Records to Build a Detection Model for Surveillance of Healthcare-Associated Urinary Tract Infections., , and . J. Medical Systems, 37 (2): 9923 (2013)Safety Portal: The Safest Goes Through the Air Ubiquitous high-risk reminders bridging out the patient safety in emergency department., , , , , , and . MIE, volume 124 of Studies in Health Technology and Informatics, page 77-82. IOS Press, (2006)Extracting and Evaluating Predictors from Electronic Medical Records for Nosocomial Urinary Tract Infection Surveillance., , , , and . BIOCOMP, page 751-757. CSREA Press, (2009)Using Haptic Technology to Design Computer Assisted Learning Systems for Dental Casting Training - In the Case of Melting Palladium Silver Alloy with a Dental Lost-wax Casting Blow Torch., , and . ICETC, page 145-151. IEEE Computer Society, (2009)Improving the work efficiency of healthcare-associated infection surveillance using electronic medical records., , , and . Comput. Methods Programs Biomed., 117 (2): 351-359 (2014)The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit., , , , , , and . Int. J. Medical Informatics, (2020)Development of a Guideline-Based Hospital-Acquired Infection Surveillance Information System., , , , , and . BIOCOMP, page 740-746. CSREA Press, (2009)Faster and Active Surveillance of Hospital-Acquired Infections: A Model for Settings with High Sensitivity Predictors., , , , and . BIBE, page 443-448. IEEE Computer Society, (2009)