The receiver operating characteristic function as a tool for uncertainty management in artificial neural network decision-making

Proceedings - 2nd International Symposium on Uncertainty Modeling and Analysis, ISUMA 1993

Volumn , Issue , 1993, Pages 141-144

  Deleo, J M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; UNCERTAINTY ANALYSIS;

BACK ERROR PROPAGATION; FALSE POSITIVE AND FALSE NEGATIVES; PROCESSING UNITS; REAL-WORLD; RECEIVER OPERATING CHARACTERISTICS; TRAINED NEURAL NETWORKS; UNCERTAINTY MANAGEMENT;

DECISION MAKING;

EID: 85008377559     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISUMA.1993.366777     Document Type: Conference Paper

References (4)

1. DeLeo JM. Receiver operating characteristic laboratory (ROCLAB): software for developing decision strategies that account for uncertainty. Proc Second Int Symp on Uncertainty Modeling and Analysis. IEEE Computer Society Press 1993.
2. DeLeo JM, Campbell G. The fuzzy receiver operating characteristic function and medical decisions with uncertainty. Proc. First Int Symp on Uncertainty Modeling and Analysis. IEEE Computer Society Press 1990: 694-9.
3. Campbell G, DeLeo, JM. Fundamentals of fuzzy receiver operating characteristic (ROC) functions: In Malone L, Berk, ed. Computing science and statistics: proceedings of the twenty-first symposium on the interface, Alexandria, VA: American Statistical Assoc. 1989: 543-8.
4. Zweig M, Campbell G. Receiver operating characteristic (ROC) curves. A fundamental evaluation tool in clinical medicine. Clinical Chemistry (in press).