The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
| 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 | Journal of big data |
| Data Creation | Impact of phenotypes | Study Done - Paper submitted |
| Model development | How much data do we need for prediction - Learning curves at scale | International Journal of Medical Informatics |
| 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 different algorithm models within a database to improve models transportability? | Caring is Sharing–Exploiting the Value in Data for Health and Innovation |
| Model development | Can we use ensembles to combine models developed using different databases to improve models transportability? | BMC Medical Informatics and Decision Making |
| Model development | Impact of regularization method | JAMIA |
| Evaluation | Why prediction is not suitable for risk factor identification | Machine Learning for Healthcare Conference |
| Evaluation | Iterative pairwise external validation to put validation into context | Drug Safety |
| Evaluation | A novel method to estimate external validation using aggregate statistics | Study under review |
| 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 |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.