INITIAL-IMPRESSION DIAGNOSIS USING LOW-BACK-PAIN PATIENT PAIN DRAWINGS

被引：64

作者：

MANN, NH

BROWN, MD

HERTZ, DB

ENGER, I

TOMPKINS, J

机构：

[1] Department of Biomedical Engineering, Vanderbilt University, Nashville, TN

[2] Department of Orthopaedics and Rehabilitation, University of Miami School of MedicineUniversity of Miami, Miami, FL

[3] Intelligent Computer Systems Research Institute, University of Miami, Miami, FL

来源：

SPINE | 1993年 / 18卷 / 01期

关键词：

LOW-BACK PAIN; PAIN DRAWING DIAGNOSIS;

D O I：

10.1097/00007632-199301000-00008

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Patient pain drawings were blindly selected from five lumbar spine disorder categories. The drawing were classified by low-back physicians, discriminant analysis, and several computerized artificial neural network configurations. The purpose was to determine the reliability of the patient pain drawing when diagnosing low-back disorders and to delineate the pain mark patterns particular to each disorder by comparing physicians with computerized methods. The physicians averaged 51% accuracy with individual preferences for certain disorder groups. The computerized methods demonstrated comparable accuracy (48%) and more agreement in classification. Associations were found between the predicted pain patterns for each diagnostic group make by an expert and the patterns generated by computerized methods. Variances in these associations are instructive to clinicians for making accurate predictions of diagnosis from pain drawings.

引用

页码：41 / 53

页数：13

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