PPT-Medical Expert Systems

Eddie Lai History 1950s scientists tried to use computers for probabilistic reasoning and statistical pattern recognition 1970s realized that physicians do not make decisions based on probability or patterns. Even though we are familiar with several pr oblemsolving techniques in the real world sometimes many problems cannot be solved by a technique we are familiar with Surprisingly for some compli cated problems no straight forward solution technique is However since most of these expert systems are based on text analysis rather than on models of hum man searching they cannot process requestrelated cri teria such as precision or recall requirements Analysis of the searching behavior of human interm 18 No 4 pp 425436 1995 Copyright 1995 Elsevier Science Ltd Printed in the USA All rights reserved 0160252795 950 00 0160252795000208 The Expert Deposes but the Court Disposes The Concept of Malingering and the Function of a Medical Expert Witness . . Joshua Potter, JD. Karen Fukutaki, MD. This presentation will be . an . attempt to explore the persistent problem of medical expert testimony and reports that are difficult to reconcile with the medical evidence . By James Jennings. Introduction. . What is an Expert system?. expert system. is a computer system that emulates the decision-making ability of a human . expert. . Four . interactive roles form the activities of the expert system: . SESSION 1. Introduction to Knowledge-based Intelligent Systems. By: . H.Nematzadeh. What is intelligence?. Intelligence is the ability to think and understand instead of doing things by instinct or automatically. (Essential English Dictionary, Collins, London, 1990). By: . H.Nematzadeh. ASSESSMENT. Midterm Exam = 8/20. Final Exam = 10/20. Research Paper = 2/20. - 20 minutes presentation of the selected . paper . (WORLDCOMP’10:. USA. , IEEE’11: . Can incorporate Neural, Genetic and Fuzzy Components. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. Concepts of Knowledge Representation: . . IE 469 Manufacturing Systems. 4. 69. . صنع . نظم . التصنيع. Outline. Introduction to Expert Systems (ES). Components of an ES. Building an ES. Implementations/References. 2. Introduction. By: Eleanor P. McNulty, CEO. Contingent fee arrangements with medical experts are prohibited. 204 Pa. Code Rule 3.4 Fairness to Opposing Party and Counsel provides in pertinent part as follows:. A lawyer shall not:. Leroy Garcia. 1. Definition of AI. Artificial Intelligence is . the branch of computer science that is concerned with the automation of intelligent behavior. (Luger, 2008). . 2. Different Approaches to AI. Can incorporate Neural, Genetic and Fuzzy Components. Many expert systems are based on rules. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. III YEAR VI. SEM. Presented by,. . Ms. M. . Rupa. , . AP/CSE,JCTCET. Motivation & Objectives. Utilization of computers to deal with knowledge. Quantity of knowledge increases rapidly. Knowledge might get lost if not captures.