使

Jacqueline K Shaia1, Taseen A Alam, Ilene P Trinh

  • 1Department of Population and Quantitative Health Sciences (JKS, NKS), Case Western Reserve University, Cleveland, Ohio; Case Western Reserve School of Medicine (JKS, TAA, IPT, JRR, JYC), Cleveland, Ohio; Center for Ophthalmic Bioinformatics (JKS, RPS, KET), Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio; School of Nursing, Case Western Reserve University (NKS), Cleveland, Ohio; Cleveland Clinic Cole Eye Institute (RPS, KET, DAC), Cleveland, Ohio; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University (RPS, KET, DAC), Cleveland, Ohio; and Cleveland Clinic Martin Hospitals (RPS), Cleveland Clinic, Florida.

概括

机器学习模型预测异形内高血压 (IIH) 的视力损失. 视野平均偏差 (VFMD) 和少数群体状况较差的患者面临视力不佳的危险.