Mobile sensing
1 paper1 finding
- Funder: National Institute of Biomedical Imaging and Bioengineering
- Humans1
Associations
1Error in predicting WHODAS 2.0 scores
downin silico1
1 study
Error in predicting WHODAS 2.0 scores
downin silico1
Mobile sensing predicts error in predicting WHODAS 2.0 scores in silico (MAPE 19.5% (14.86% to 27.21%)).
“Our machine learning-based models for predicting patients' WHODAS functionality scores per domain achieved an average (across the 6 domains) mean absolute percentage error of 19.5%”
In silico
JMIR formative researchOct 30, 2023
Funding
1 grant since 2019National Institute of Biomedical Imaging and BioengineeringUS$347.7k
Latest
JMIR Formative Research
Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study
Study in peopleDisability