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View article: Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension
Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension Open
Archetypal analysis provides a quantitative, objective method of measuring and monitoring disease-specific regional VF defects in IIH.
Can the Katagiri scoring system predict prognosis for surgically-managed patients with metastatic bone disease? Open
Background: The Katagiri scoring system is used extensively to predict survival for patients with metastatic bone disease. However, this system was initially formulated using a cohort largely comprised of patients managed non-operatively. …