Back to search

Article

Machine Learning to Predict Osteoporotic Fracture Risk from Genotypes

2018-09-11

Abstract excerpt

<h4>Background</h4> Genomics-based prediction could be useful since genome-wide genotyping costs less than many clinical tests. We tested whether machine learning methods could provide a clinically-relevant genomic prediction of quantitative ultrasound speed of sound (SOS)—a risk factor for osteoporotic fracture. <h4>Methods</h4> We used 341,449 individuals from UK Biobank with SOS measures to develop genomicall...

Topics

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

Identifiers and source

Literature Corpus work
93e75b12-4ac5-5425-a3ed-84955096e472
DOI
10.1101/413716
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.
Machine Learning to Predict Osteoporotic Fracture Risk from GenotypesDOI 10.1101/413716
Select a neighboring publication to make it the new centre.