000009953 001__ 9953
000009953 005__ 20240124114331.0
000009953 0247_ $$2DOI$$a10.6083/vt150k29s
000009953 037__ $$aETD
000009953 245__ $$aApplication of machine learning  for glaucoma surgical outcomes using EHR data
000009953 260__ $$bOregon Health and Science University
000009953 269__ $$a2022
000009953 336__ $$aDissertation
000009953 502__ $$bPh.D.
000009953 520__ $$aGlaucoma is a group of chronic and progressive eye diseases caused by damage to the optic nerve, which is usually related to increased intraocular pressure. In 2020, more than 80 million people were diagnosed with glaucoma, and the number is projected to increase to 110 million by 2040 worldwide. Glaucoma is currently the second leading cause of irreversible blindness worldwide and often results in long-term life quality impairment.Overall, our goal is to explore AI applications in ophthalmology and help with clinical care for glaucoma patients.
000009953 542__ $$fIn copyright - single owner
000009953 650__ $$aNatural Language Processing$$022716
000009953 650__ $$aMachine Learning$$011449
000009953 650__ $$aDeep Learning$$012734
000009953 650__ $$aGlaucoma$$019541
000009953 650__ $$aArtificial Intelligence$$015109
000009953 6531_ $$asecondary use of ehr data
000009953 691__ $$aSchool of Medicine$$041369
000009953 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000009953 7001_ $$aLin, Wei-Chun
000009953 8564_ $$99ceeccac-058d-47d5-a626-79341ec1ea5f$$s3098237$$uhttps://digitalcollections.ohsu.edu/record/9953/files/WeiChun.Lin.2022.pdf
000009953 905__ $$a/rest/prod/vt/15/0k/29/vt150k29s
000009953 909CO $$ooai:digitalcollections.ohsu.edu:9953$$pstudent-work
000009953 980__ $$aTheses and Dissertations