An Ensemble of Psychological and Physical Health Indices Discriminates Between Individuals with Chronic Pain and Healthy Controls with High Reliability: A Machine Learning Study.

Linda A AntonucciAlessandro TaurinoDomenico LaeraPaolo TaurisanoJolanda LosoleSara LutricusoChiara AbbatantuonoMariateresa GiglioMaria Fara De CaroGiustino VarrassiFilomena Puntillo

Published in: Pain and therapy (2020)

Our findings suggest that, using psychological and physical assessments, it is possible to classify CP from HC with high reliability and estimated generalizability via (i) a pattern of psychological symptoms and cognitive beliefs characteristic of CP, and (ii) a pattern of intact physical functioning characteristic of HC. We think that our algorithm enables novel insights into potential individualized targets for CP-related early intervention programs.

Keyphrases

machine learning
chronic pain
mental health
physical activity
public health
sleep quality
healthcare
randomized controlled trial
artificial intelligence
pain management
human health
convolutional neural network
depressive symptoms