0000000000026670

AUTHOR

V. Dimova

showing 1 related works from this author

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

2018

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. Methods: Supervised machine learning was used to create a short form of questionnaires that would provide the same predictive performance of pain persistence as the full questionnaires in a cohort of 1000 women followed up for 3 yr after breast cancer surgery. Machine-learned …

Persistence (psychology)PREDICTIONINVENTORYAngerpatientsCohort StudiesMachine LearningFEAR-AVOIDANCE MODEL0302 clinical medicine030202 anesthesiologySurveys and Questionnairespsychological questionnairesANXIETYProspective cohort studyMastectomySCALEDepression (differential diagnoses)Pain MeasurementPain PostoperativeDepressionmachine-learningFear-avoidance modelMiddle AgedCohortAnxietyFemaleChronic PainSENSITIVITYmedicine.symptomAdultmedicine.medical_specialtyBreast NeoplasmsContext (language use)behavioral disciplines and activitiesVALIDATIONCHRONIC MUSCULOSKELETAL PAIN03 medical and health sciencesbreast cancerBreast cancerPredictive Value of TestsmedicineHumanspersisting painddc:610Psychiatric Status Rating ScalesACUTE POSTOPERATIVE PAINbusiness.industry3126 Surgery anesthesiology intensive care radiologymedicine.diseaseSurgeryAnesthesiology and Pain MedicinePROSPECTIVE COHORTdata sciencebusiness030217 neurology & neurosurgeryBritish Journal of Anaesthesia
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