Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory Depression.

Alvin D JefferyDaniel FabbriRuth M ReevesMichael E Matheny

Published in: medRxiv : the preprint server for health sciences (2024)

Application of a data programming paradigm with expert-informed labeling functions might have utility for phenotyping clinical phenomena that are not easily ascertainable from highly-structured data.

Keyphrases

electronic health record
big data
chronic pain
high glucose
high throughput
diabetic rats
type diabetes
clinical practice
drug induced
machine learning
data analysis