Topic | Research Summary | Link |
---|---|---|
Problem Specification | When is prediction suitable in observational data? | Guidelines needed |
Data Creation | Comparison of cohort vs case-control design | Journal of Big Data |
Data Creation | Addressing loss to follow-up (right censoring) | BMC medical informatics and decision makingk |
Data Creation | Investigating how to address left censoring in features construction | BMC Medical Research Methodology |
Data Creation | Impact of over/under-sampling | Study being developed |
Data Creation | Impact of phenotypes | Study Done - Paper submitted |
Model development | How much data do we need for prediction - Learning curves at scale | Preprint link |
Model development | What impact does test/train/validation design have on model performance | BMJ Open |
Model development | What is the impact of the classifier | JAMIA |
Model development | Can we find hyper-parameter combinations per classifier that consistently lead to good performing models when using claims/EHR data? | Study needs to be done |
Model development | Can we use ensembles to combine models developed using different databases to improve models transportability? | Paper under review at BMC |
Evaluation | How should we present model performance? (e.g., new visualizations) | JAMIA Open |
Evaluation | How to interpret external validation performance (can we figure out why the performance drops or stays consistent)? | Study needs to be done |
Evaluation | Recalibration methods | Study needs to be done |
Evaluation | Is there a way to automatically simplify models? | Study protocol under development |
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