Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records.

ABSTRACT:

Objectives

To simultaneously estimate how the risk of incident dementia nonlinearly varies with the administration period and cumulative dose of benzodiazepines, the duration of disorders with an indication for benzodiazepines, and other potential confounders, with the goal of settling the controversy over the role of benzodiazepines in the development of dementia.

Methods

The classical hazard model was extended using the techniques of multiple-kernel learning. Regularised maximum-likelihood estimation, including determination of hyperparameter values with 10-fold cross-validation, bootstrap goodness-of-fit test, and bootstrap estimation of confidence intervals, was applied to cohorts retrospectively extracted from electronic medical records of our university hospitals betwe

SUBMITTER: Hayakawa T 

PROVIDER: S-EPMC10259140 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature