Modeling Disease Progression Trajectories from Longitudinal Observational Data
- Bum Chul Kwon
- Peter Achenbach
- et al.
- 2020
- AMIA Annual Symposium 2020
Publications
27 results at AMIA Annual Symposium 2020
Identifying and Leveraging Public Data Sources with Structured Social Determinants of Health Information for Observational Health Research
- Irene Dankwa-Mullan
- Mollie M. McKillop
- et al.
- 2020
- AMIA Annual Symposium 2020
Analysis of Machine Learning Models and Identification of Factors for Predicting Preventive Care Services Usage in a Direct Primary Care Setting
- Jane L. Snowdon
- Ching-Hua Chen
- et al.
- 2020
- AMIA Annual Symposium 2020
Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes
- Mohamed Ghalwash
- Vibha Anand
- et al.
- 2020
- AMIA Annual Symposium 2020
A Visual Analytics Tool for Understanding Provider Networks
- Issa Sylla
- Yoonyoung Park
- et al.
- 2020
- AMIA Annual Symposium 2020
Estimating Time Demand for Physicians in a Direct Primary Care Setting
- Yoonyoung Park
- Issa Sylla
- et al.
- 2020
- AMIA Annual Symposium 2020
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning
- William Ogallo
- Skyler Speakman
- et al.
- 2020
- AMIA Annual Symposium 2020