Health Dictionary
Reliable, easy-to-read patient information on common medical conditions — written in plain language, free of jargon, and grounded in current evidence. Browse the most frequent diagnoses, understand what they mean for everyday life, and learn which steps and questions help you have a focused conversation with your doctor.
Receiver-operator characteristic
Introduction
In statistics, Receiver-operator characteristic is defined as “A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.”[1]
Interpretation
Interpretation
One interpretation is[2]:
- Greater than 0.9 has high accuracy
- 0.7–0.9 indicates moderate accuracy
- 0.5–0.7, low accuracy
- 0.5 a chance result
One interpretation is[3]:
- more than 0.9 is considered outstanding
- 0.8 to 0.9 is considered excellent
- 0.7 to 0.8 is considered acceptable
- 0.5 suggests no discrimination
External links
External links
References
References
- ↑ Anonymous (2026), ROC Curve (English). Medical Subject Headings. U.S. National Library of Medicine.
- ↑ Fischer JE, Bachmann LM, Jaeschke R (2003). “A readers’ guide to the interpretation of diagnostic test properties: clinical example of sepsis”. Intensive Care Med. 29 (7): 1043–51. doi:10.1007/s00134-003-1761-8. PMID 12734652.
- ↑ Mandrekar JN (2010). “Receiver operating characteristic curve in diagnostic test assessment”. J Thorac Oncol. 5 (9): 1315–6. doi:10.1097/JTO.0b013e3181ec173d. PMID 20736804.