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Topic
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Research Summary
|
Link
|
|
Problem Specification
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When is prediction suitable in observational data?
|
Guidelines needed
|
|
Data Creation
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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
|
