@article{ETD,
      school = {Ph.D.},
      author = {Lin, Wei-Chun},
      url = {http://digitalcollections.ohsu.edu/record/9953},
      title = {Application of machine learning  for glaucoma surgical  outcomes using EHR data},
      publisher = {Oregon Health and Science University},
      abstract = {Glaucoma 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.},
      number = {ETD},
      doi = {https://doi.org/10.6083/vt150k29s},
      recid = {9953},
      address = {2022},
}