236pp., xii. '1' in number line. No jacket. Shiny Navy cloth with brilliant silver lettering on spine; title lettering in white at upper middle front cover; editor name in silver below title. Divided into three Parts: I. Causal Modeling and 'Deep Models' of Medical Reasoning; II. Contributions: Perry L. Miller, "Artificial Intelligence in Medicine: An Emerging Discipline, pp. 1-10; Perry L. Miller and Paul R. Fischer, "Causal Models for Medical Artificial Intelligence", pp. 11-24; Ramesh Patil and Oksana Senyk, "Compiling Causal Knowledge for Diagnostic Reasoning", pp. 25-39; William J. Long, Shapur Naimi, M.G. Criscitiello, and Robert Jayes "Development and Use of a Causal Model for Reasoning about Heart Failure", pp. 40-54; Lawrence E. Widman, Yong Bok Lee, and Yoh- Han Pao, "Toward the Diagnosis of Medical Causal Models by Semiquantitative Reasoning", pp. 55-70; William R. Swartout and Stephen W. Smoliar, "Explaining the Link Between Causal Reasoning and Expert Behavior", pp. 71-84; Gregory F. Cooper, "Computer-Based Medical Diagnosis Using Belief Networks and Bounded Probabilities", pp. 85-98; Ronnie C. Parker and Randolph A. Miller, "Using Causal Knowledge to Create Simulated Patient Cases: CPCS Project as an Extension of INTERNIST-1", pp. 99-115; Robert L. Blum, "Modeling and Encoding Clinical Causal Relations in a Medical Knowledge Base", pp. 116-124; Glenn D. Rennels, Edward H. Shortlife, Frank E. Stockdale, and Perry L. Miller, "Computational Model of Reasoning from the Clinical Literature", pp. 125-140; Nicolaas J.I. Mars and Perry L. Miller, "Knowledge Acquisition and Verification Tools for Medical Expert Systems", pp. 141- 152; Sholom M. Weiss, Peter Politakis, and Allen Ginsberg, "Empirical Analysis and Refinement of Expert System Knowledge Bases", pp. 153-165; Mark A. Musen, David M. Combs, Joan D. Walton, Edward H. Shortlife, and Lawrence M. Fagan, "OPAL: Toward the Computer-Aided Design of Oncology Advice Systems",pp. 166-180; Perry L. Miller, Steven J. Blumenfrucht, John R.Rose, Michael Rothschild, Henry A. Swett, Gregory Weltin, and Nicolaas J.I. Mars, "HYDRA: A Knowledge Acquisition Tool for Expert Systems That Critique Medical Work-up", pp. 181-201; Perry L.Miller, "Evaluation of Artificial Intelligence Systems in Medicine", pp. 202-211; Lawrence C. Kingsland III, "Evaluation of Medical Expert Systems: Experience with the AI/RHEUM Knowledge-Based Consultant System in Rheumatology", pp. 212-221; James A. Reggia, " Evaluation of Medical Expert Systems: Case Study in Performance Assessment", pp. 222-230; Index, pp. 231-236. Flawless. As New. UNREAD. (NO previous owner names; NO remainder marks).

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Bibliographic Details

Title: Selected Topics in Medical Artificial Intelligence (Computers and Medicine)
Publisher: Springer-Verlag, New York Berlin Heidleberg London Paris Tokyo
Publication Date: 1988
Language: English
ISBN 10: 038796701X
ISBN 13: 9780387967011
Binding: Hardcover
Edition: 1st Edition
Printing: 1st Printing
Condition: As New

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Synopsis

Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the di� agnostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these tech� nology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli� cations are limited to administrative functions, e.g., office practice man� agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.

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