首页|Data on Heart Surgery Reported by George E. Sarris and Colleaguess (Congenital Heart Surgery Machine Learning-Derived In-s Depth Benchmarking Tool)

Data on Heart Surgery Reported by George E. Sarris and Colleaguess (Congenital Heart Surgery Machine Learning-Derived In-s Depth Benchmarking Tool)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Heart Surgery is the subject of a report. According to newsreporting originating in Athens, Greece, by NewsRx journalists, research stated, “We previously showedthat machine learning-based methodologies of optimal classification trees (OCTs) can accurately predictrisk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures.We extend this methodology to provide interpretable, easily accessible, and actionable hospital performanceanalysis across all procedures.”

AthensGreeceEuropeCardiologyCyborgsEmerging Technologiess Health and MedicineHeart SurgeryHospitalsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.18)