首页|University of Calgary Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Improving Detection of Hospital Adverse Events Us ing Machine Learning on Real-World Narrative EMR Data)
University of Calgary Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Improving Detection of Hospital Adverse Events Us ing Machine Learning on Real-World Narrative EMR Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from the Unive rsity of Calgary by NewsRx journalists, research stated, “Administrative data of ten underrepresents hospital adverse events (AEs) due to limitations in Internat ional Classification of Diseases (ICD) coding. By leveraging electronic medical records (EMRs), we aim to mitigate these discrepancies and enhance the precision of healthcare surveillance and performance evaluations.”
University of CalgaryCyborgsElectron ic Medical RecordsEmerging TechnologiesHospitalsInformation TechnologyMa chine Learning
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