Validation of an algorithm for identifying MS cases in administrative health claims datasets.

William J CulpepperRuth Ann MarrieAnnette Langer-GouldMitchell T WallinJonathan D CampbellLorene M NelsonWendy E KayeLaurie WagnerHelen TremlettLie H ChenStella LeungCharity EvansShenzhen YaoNicholas G LaRoccanull null

Published in: Neurology (2019)

The performance of each algorithm was remarkably consistent across datasets. The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT use within 1 year. We recommend this algorithm as the standard AHC case definition for MS.

Keyphrases

machine learning
deep learning
mass spectrometry
multiple sclerosis
ms ms
mental health
health insurance
healthcare
neural network
public health
palliative care
rna seq
health information
risk assessment
single cell
health promotion