Joy Guo
Graduate Trainee, University of California, San Diego
3 active projects
Duplicate of Access/Utilization and Glaucoma Surgery v6
Scientific Questions Being Studied
We intend to study the relationship between healthcare access and utilization and glaucoma surgery.
Project Purpose(s)
- Disease Focused Research (Primary open angle glaucoma)
Scientific Approaches
We will use machine learning models to understand the relationship between measures of access and utilization and glaucoma surgery. We plan to use logistic regression, artificial neural networks, random forests, and XGBoost.
Anticipated Findings
We hope that our study will better inform the field of ophthalmology of the relationship between access and utilization and real world glaucoma outcomes such as need for surgery.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Joy Guo - Graduate Trainee, University of California, San Diego
- Arash Delavar - Graduate Trainee, University of California, San Diego
Collaborators:
- Brian Johnson - Graduate Trainee, University of California, San Diego
- Bharanidharan Radha Saseendrakumar - Project Personnel, University of California, San Diego
Access/Utilization and Glaucoma Surgery
Scientific Questions Being Studied
We intend to study the relationship between healthcare access and utilization and glaucoma surgery.
Project Purpose(s)
- Disease Focused Research (Primary open angle glaucoma)
Scientific Approaches
We will use machine learning models to understand the relationship between measures of access and utilization and glaucoma surgery. We plan to use logistic regression, artificial neural networks, random forests, and XGBoost.
Anticipated Findings
We hope that our study will better inform the field of ophthalmology of the relationship between access and utilization and real world glaucoma outcomes such as need for surgery.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Joy Guo - Graduate Trainee, University of California, San Diego
- Arash Delavar - Graduate Trainee, University of California, San Diego
Collaborators:
- Brian Johnson - Graduate Trainee, University of California, San Diego
- Bharanidharan Radha Saseendrakumar - Project Personnel, University of California, San Diego
Periocular Malignancy - Control - Census
Scientific Questions Being Studied
We are planning to explore disparities in healthcare access and utilization for patients with eye conditions across different demographic groups. We would like to evaluate risk of developing advanced/severe disease in different eye conditions, and understand how social determinants contribute to this risk while adjusting for other known risk factors. We are also interested in understanding the availability of social determinants of health data in this data repository compared to EHR clinical data warehouses alone.
Project Purpose(s)
- Population Health
Scientific Approaches
We will build cohorts of patients with various eye diseases (i.e. diabetic retinopathy, retinal vein occlusions, glaucoma, etc.). Then we will develop concept sets and extract data on outcomes (i.e. development of complications), as well as predictors including clinical data and social data. We will draw on survey data and EHR data within All of Us. When genomic data and wearable data become available, we are interested in evaluating those data sources as well. We will use statistical modeling and machine learning to generate predictive models.
Anticipated Findings
We anticipate that there may be differential risk for developing complications based on disparities in healthcare access and utilization for patients with eye conditions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierRequest a Review of this Research Project
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