research
∙
06/28/2022
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models
Objective The evaluation of natural language processing (NLP) models for...
share
research
∙
11/09/2020
Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features
In health related machine learning applications, the training data often...
research
∙
11/12/2019
Causality-based tests to detect the influence of confounders on mobile health diagnostic applications: a comparison with restricted permutations
Machine learning practice is often impacted by confounders. Confounding ...
research
∙
10/02/2019
Indicators of retention in remote digital health studies: A cross-study evaluation of 100,000 participants
Digital technologies such as smartphones are transforming the way scient...
research
∙
11/29/2018
Using permutations to assess confounding in machine learning applications for digital health
Clinical machine learning applications are often plagued with confounder...
research
∙
12/08/2017
