2 results match your criteria: "31 Center Dr MSC 2510[Affiliation]"
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data.
J Am Med Inform Assoc
January 2024
Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Rd, Portland, OR, 97239, United States.
Objective: Surgical outcome prediction is challenging but necessary for postoperative management. Current machine learning models utilize pre- and post-op data, excluding intraoperative information in surgical notes. Current models also usually predict binary outcomes even when surgeries have multiple outcomes that require different postoperative management.
View Article and Find Full Text PDFPostmenopausal estrogen use, type of menopause, and lens opacities: the Framingham studies.
Arch Intern Med
June 2001
Division of Epidemiology and Clinical Research, National Eye Institute, Bldg 31, Room 6A52, 31 Center Dr MSC 2510, Bethesda, MD 20892-2510, USA.
Background: Previous studies of estrogen replacement therapy and lens opacities have not reported consistent findings.
Objective: To investigate whether postmenopausal estrogen use is associated with the occurrence of age-related lens opacities (nuclear, cortical, and posterior subcapsular).
Methods: Surviving members of the original cohort of the Framingham Heart Study who also participated in the Framingham Eye Study (1986-1989) were examined for the absence or presence of lens opacities.