Selected Topics in Medical Artificial Intelligence
Springer-Verlag New York Inc.
978-0-387-96701-1 (ISBN)
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1. Artificial Intelligence in Medicine: An Emerging Discipline.- I. Causal Modeling and “Deep Models” of Medical Reasoning.- 2. Causal Models for Medical Artificial Intelligence.- 3. Compiling Causal Knowledge for Diagnostic Reasoning.- 4. Development and Use of a Causal Model for Reasoning About Heart Failure.- 5. Toward the Diagnosis of Medical Causal Models by Semiquantitative Reasoning.- 6. Explaining the Link Between Causal Reasoning and Expert Behavior.- 7. Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities.- 8. Using Causal Knowledge to Create Simulated Patient Cases: CPCS Project as an Extension of INTERNIST-1.- 9. Modeling and Encoding Clinical Causal Relations in a Medical Knowledge Base.- 10. Computational Model of Reasoning from the Clinical Literature.- II. Knowledge Acquisition and Verification.- 11. Knowledge Acquisition and Verification Tools for Medical Expert Systems.- 12. Empirical Analysis and Refinement of Expert System Knowledge Bases.- 13. OPAL: Toward the Computer-Aided Design of Oncology Advice Systems.- 14. HYDRA: A Knowledge Acquisition Tool for Expert Systems That Critique Medical Work-up.- III. Evaluation.- 15. Evaluation of Artificial Intelligence Systems in Medicine.- 16. Evaluation of Medical Expert Systems: Experience with the AI/RHEUM Knowledge-Based Consultant System in Rheumatology.- 17. Evaluation of Medical Expert Systems: Case Study in Performance Assessment.
| Reihe/Serie | Springer Series in Neuropsychology |
|---|---|
| Zusatzinfo | Bibliography |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Gewicht | 480 g |
| Themenwelt | Medizin / Pharmazie ► Gesundheitswesen |
| Technik ► Medizintechnik | |
| ISBN-10 | 0-387-96701-X / 038796701X |
| ISBN-13 | 978-0-387-96701-1 / 9780387967011 |
| Zustand | Neuware |
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