Back to search

Article

Applying Machine Learning on UK Biobank biomarker data empowers case-control discovery yield

2023-10-10

Abstract excerpt

Missing or inaccurate diagnoses in biobank datasets can reduce the power of human genetic association studies. We present a machine-learning framework (MILTON) that utilizes the wealth of phenotypic information available in a biobank dataset to identify undiagnosed individuals within the cohort who have biomarker profiles similar to those of positively diagnosed cases. We applied MILTON to perform an augmented phe...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2d22c9cc-6dbf-5d74-9ea0-178982b3e14f
DOI
10.1101/2023.10.10.23296832
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Applying Machine Learning on UK Biobank biomarker data empowers case-control discovery yieldDOI 10.1101/2023.10.10.23296832
Select a neighboring publication to make it the new centre.