Unknown

Dataset Information

0

Diet to Data: Validation of a Bias-Mitigating Nutritional Screener Using Assembly Theory

ABSTRACT:

SUBMITTER:  

PROVIDER: S-EPMC12348917 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature

Json Xml

Similar Datasets

Unknown Validation of a MIND diet screener in older adults.
| S-EPMC12509044 | biostudies-literature
Unknown Validation of the German version of the Mediterranean Diet Adherence Screener (MEDAS) questionnaire.
| S-EPMC5437541 | biostudies-literature
Unknown The development of a brief screener for autism using item response theory.
| S-EPMC6829932 | biostudies-literature
Unknown An evaluation of synthetic data augmentation for mitigating covariate bias in health data.
| S-EPMC11026977 | biostudies-literature
Unknown Brief Diet Screener for Assessing Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet: Development and Validation.
| S-EPMC12681539 | biostudies-literature
Unknown A microsimulation-based framework for mitigating societal bias in primary care data.
| S-EPMC12687816 | biostudies-literature
Unknown The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning.
| S-EPMC6051928 | biostudies-literature
Unknown Development of a screener to assess athlete risk behavior of not using third-party tested nutritional supplements.
| S-EPMC11134207 | biostudies-literature
Unknown Mitigating bias in estimating epidemic severity due to heterogeneity of epidemic onset and data aggregation.
| S-EPMC8375253 | biostudies-literature
Unknown Detecting and mitigating doppelganger bias in microbiome data: impacts on machine learning and disease classification.
| S-EPMC12407587 | biostudies-literature