Predicting placebo analgesia in patients with chronic pain using natural language processing: a preliminary validation study.

ABSTRACT:

Abstract

Patients with chronic pain show large placebo effects in clinical trials, and inert pills can lead to clinically meaningful analgesia that can last from days to weeks. Whether the placebo response can be predicted reliably, and how to best predict it, is still unknown. We have shown previously that placebo responders can be identified through the language content of patients because they speak about their life, and their pain, after a placebo treatment. In this study, we examine whether these language properties are present before placebo treatment and are thus predictive of placebo response and whether a placebo prediction model can also dissociate between placebo and drug responders. We report the fine-tuning of a language model built based on a longitudinal treatment st

SUBMITTER: Branco P 

PROVIDER: S-EPMC10106359 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature