Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

Journal: British journal of anaesthesia

PMID: 30336857

Abstract

BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of persistent pain. However, repeated use of long psychological questionnaires in this context may be exhaustive for a patient and inconvenient in everyday clinical practice.

Authors

J Lötsch

Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
R Sipilä

Pain Clinic, Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
V Dimova

Department of Neurology, University Medical Centre of the Johannes Gutenberg University, Mainz, Germany.
E Kalso

Department of Perioperative Medicine, Intensive Care and Pain Medicine, Pain Clinic, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Keywords

Adult Anger Anxiety Breast Neoplasms Chronic Pain Cohort Studies Depression Female Humans Machine Learning Mastectomy Middle Aged Pain Measurement Pain, Postoperative Predictive Value of Tests Psychiatric Status Rating Scales Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (30336857)

Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

Abstract

Authors

Keywords

External Resources

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