Temporal reasoning for diagnosis in a causal probabilistic knowledge base

Artificial Intelligence in Medicine

Volumn 8, Issue 3, 1996, Pages 193-215

  Long, William ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian probability networks; Causality; Constraint reasoning; Diagnosis; Heart disease; Physiologic causality; Temporal reasoning

Indexed keywords

CARDIOVASCULAR SYSTEM; CONSTRAINT THEORY; DIAGNOSIS; DISEASES; KNOWLEDGE BASED SYSTEMS; MEDICINE; PHYSIOLOGY; PROBABILITY;

BAYESIAN PROBABILITY NETWORKS; CAUSALITY; CONSTRAINT REASONING; HEART DISEASE; PHYSIOLOGIC CAUSALITY; TEMPORAL REASONING;

ARTIFICIAL INTELLIGENCE;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; DECISION MAKING; HEART DISEASE; PRIORITY JOURNAL; PROBABILITY;

EID: 0030201087     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/0933-3657(95)00033-X     Document Type: Article

References (12)

1. [1] J.F. Allen, Towards a general theory of action and Time, Artificial Intelligence 23 (1984) 123-154.
2. [2] G.O. Barnett, J.J. Cimino, J.A. Hupp and E.P. Hoffer, DXplain: an evolving diagnostic decision-support system, J. Am. Med. Assoc. 285 (1987) 67-74.
3. [3] E.S. Berner, Performance of four computer-based diagnostic systems, N. Engl. J. Med. 330 (1994) 1792-1796.
4. [4] L. Console, A.J. Rivolin and P. Torasso, Fuzzy temporal reasoning on causal models. Int. J. Intelligent Systems 6 (1991) 107-133.
5. [5] M.B. First and R.A. Miller, QUICK (QUick index to Caduceus knowledge): using the internist-1/Caduceus knowledge base as an electronic textbook of medicine, Comput. Biomed. Res. 18 (1985) 137-165.
6. [6] O.K. Hejlesen, S. Andreassen and S.K. Andersen, Implementation of a learning procedure for multiple observations in a diabetes advisory system based on causal probabilistic networks, in: S. Andreassen et al., eds., Artificial Intelligence in Medicine (IOS Press. Amsterdam, 1993) 63-74.
7. [7] M.G. Kahn, Modeling time in medical decision-support programs, Medical Decision Making 11 (1991) 249-264.
8. [8] W. Long, Reasoning about state from causation and time in a medical domain, American Association for Artificial Intelligence 1983 Conference (1983) 251-254.
9. [9] W. Long, Medical diagnosis using a probabilistic causal network, Appl. Artificial Intelligence 3 (1989) 367-383.
10. [10] W.J. Long, S. Naimi and M.G. Criscitiello, Development of a knowledge base for diagnostic reasoning in cardiology, Comput. Biomed. Res. 25 (1992) 292-311.
11. [11] W.J. Long, S. Naimi and M.G. Criscitiello, Evaluation of a new method for cardiovascular reasoning, J. Am. Med. Informatics Assoc. 1 (1994) 127-141.
12. [12] R.A. Miller, H.E. Pople and J.D. Myers, INTERNIST-I, An experimental computer-Based diagnostic consultant for general internal medicine, N. Engl. J. Med. 307 (1982) 468-476.