What are sensitivity and specificity in medical testing?
An example of an AI chatbot conversation about sensitivity and specificity in medical tests.
What are sensitivity and specificity in medical testing?
Sensitivity refers to the ability of a test to correctly identify those with the disease, while specificity refers to correctly identifying those without the disease.
Can you give me an example of each?
Sure! For example, a test for a disease that correctly identifies 90 out of 100 sick people has a sensitivity of 90%. If it correctly identifies 80 out of 100 healthy people, it has a specificity of 80%.
Why are these metrics important?
They help determine how effective a test is in diagnosing a condition, guiding treatment decisions and public health strategies.
How do sensitivity and specificity relate to false positives and false negatives?
Sensitivity is related to false negatives (failing to identify a disease), while specificity is related to false positives (incorrectly identifying a disease).
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