首页|Ruhr-Universitat Bochum Reports Findings in Chronic Back Pain (Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheuma tological routine care using a random forest approach)
Ruhr-Universitat Bochum Reports Findings in Chronic Back Pain (Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheuma tological routine care using a random forest approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Musculoskeletal Diseas es and Conditions - Chronic Back Pain is thesubject of a report. According to n ews reporting out of Bochum, Germany, by NewsRx editors, researchstated, “In ax ial spondyloarthritis (axSpA), early diagnosis is crucial, but diagnostic delay remains longand diagnostic criteria do not exist. We aimed to identify a diagno stic model that distinguishes patientswith axSpA from patients without axSpA wi th chronic back pain based on clinical data in routine care.”
BochumGermanyEuropeBack PainChro nic Back PainCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningMusculoskeletal Diseases and ConditionsNeurol ogic Manifestations
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