Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, Aalborg, Denmark, June 20-24, 1999, Proceedings / Edition 1

Paperback (Print)
Buy New
Buy New from BN.com
$107.75
Used and New from Other Sellers
Used and New from Other Sellers
from $18.43
Usually ships in 1-2 business days
(Save 85%)
Other sellers (Paperback)
  • All (6) from $18.43   
  • New (3) from $87.62   
  • Used (3) from $18.43   

Overview

This book constitutes the refereed proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99, held in Aalborg, Denmark, in June 1999.
The 27 full papers and 19 short papers presented in the book together with four invited papers were selected from 90 submissions. The papers are organized in topical sections on guidelines and protocols; decision support systems, knowledge-based systems, and cooperative systems; model-based systems; neural nets and causal probabilistic networks; knowledge representation; temporal reasoning; machine learning; natural language processing; and image processing and computer aided design.

The book contains black-and-white illustrations.

Read More Show Less

Editorial Reviews

Doody's Review Service
Reviewer: Jeffrey S. Rose, MD (Private Practice)
Description: This book is a compilation of papers (proceedings) from the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999. It contains sections on guidelines, knowledge support systems, model based systems, neural and probabilistic networks, knowledge representation, temporal reasoning, machine learning, natural language, and image processing.
Purpose: The purpose is to provide proceeding papers from the conference for reference.
Audience: The audience for this book is those devoted to and already knowledgeable about the aspects of artificial intelligence (AI) as described above.
Features: This is a compilation of papers in proceedings-style, so they vary enormously in quality and interest, as is the usual case with symposia of conferences. The European perspective is interesting, but probably of limited value to the average American reader. Nonetheless, with global healthcare emerging, this book is of some importance to those familiar with and interested in the field. Health informatics experts may learn from some of the key-note observations and papers of relevance to their studies, but this is certainly not a book for a general informatics audience.
Assessment: This book is nicely presented, but of limited utility outside of that of reference research reports and highly specific AI topics. It is, as is the nature of proceedings, disjointed and somewhat non-cohesive. It is of value to those with passionate interest in artificial intelligence and decision support in medicine from a largely European perspective. It is neither good nor bad, but typical of symposium proceedings, and as such has the inherent irregularities of quality and cohesiveness of conference reports.
Jeffrey Rose
This book is a compilation of papers (proceedings) from the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999. It contains sections on guidelines, knowledge support systems, model based systems, neural and probabilistic networks, knowledge representation, temporal reasoning, machine learning, natural language, and image processing. The purpose is to provide proceeding papers from the conference for reference. The audience for this book is those devoted to and already knowledgeable about the aspects of artificial intelligence (AI) as described above. This is a compilation of papers in proceedings-style, so they vary enormously in quality and interest, as is the usual case with symposia of conferences. The European perspective is interesting, but probably of limited value to the average American reader. Nonetheless, with global healthcare emerging, this book is of some importance to those familiar with and interested in the field. Health informatics experts may learn from some of the key-note observations and papers of relevance to their studies, but this is certainly not a book for a general informatics audience. This book is nicely presented, but of limited utility outside of that of reference research reports and highly specific AI topics. It is, as is the nature of proceedings, disjointed and somewhat non-cohesive. It is of value to those with passionate interest in artificial intelligence and decision support in medicine from a largely European perspective. It is neither good nor bad, but typical of symposium proceedings, and as such has the inherent irregularities of quality and cohesiveness of conference reports.

2 Stars from Doody
Read More Show Less

Product Details

Table of Contents

Keynote Lectures.- From Clinical Guidelines to Decision Support.- Artificial Intelligence for Building Learning Health Care Organizations.- Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine.- Machine Learning for Data Mining in Medicine.- Guidelines and Protocols.- Guidelines-Based Workflow Systems.- Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process.- Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge.- Decision Support Systems, Knowledge-Based Systems, Cooperative Systems.- From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain.- Internet-Based Decision-Support Server for Acute Abdominal Pain.- Multi-modal Reasoning in Diabetic Patient Management.- Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems.- Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals.- Influence Diagrams for Neonatal Jaundice Management.- Electronic Drug Prescribing and Administration - Bedside Medical Decision Making.- Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants.- A Life-Cycle Based Authorisation Expert Database System.- A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE).- Model-Based Systems.- A Model-Based Approach for Learning to Identify Cardiac Arrhythmias.- A Model-Based System for Pacemaker Reprogramming.- Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach.- Neural Networks, Causal Probabilistic Networks.- A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract.- An ECG Ischemic Detection System Based on Self-Organizing Maps and a Sigmoid Function Pre-processing Stage.- Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods.- A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG.- The Case-Based Neural Network Model and Its Use in Medical Expert Systems.- Knowledge Representation.- A Medical Ontology Library That Integrates the UMLS Metathesaurus™.- The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion.- Representing Knowledge Levels in Clinical Guidelines.- Temporal Reasoning.- Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions.- Knowledge-Based Event Detection in Complex Time Series Data.- Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data.- Visualization Techniques for Time-Oriented, Skeletal Plans in Medical Therapy Planning.- Visualizing Temporal Clinical Data on the WWW.- Machine Learning.- Machine Learning in Stepwise Diagnostic Process.- Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning.- The Analysis of Head Injury Data Using Decision Tree Techniques.- Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer.- ICU Patient State Characterization Using Machine Learning in a Time Series Framework.- Diagnostic Rules of Increased Reliability for Critical Medical Applications.- Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?.- A Screening Technique for Prostate Cancer by Hair Chemical Analysis and Artificial Intelligence.- Natural Language Processing.- A Conversational Model for Health Promotion on the World Wide Web.- Types of Knowledge Required to Personalise Smoking Cessation Letters.- Small Is Beautiful — Compact Semantics for Medical Language Processing.- Speech Driven Natural Language Understanding for Hands-Busy Recording of Clinical Information.- Automatic Acquisition of Morphological Knowledge for Medical Language Processing.- Image Processing and Computer Aided Design.- A Multi-agent System for MRI Brain Segmentation.- Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms.- Animating Medical and Safety Knowledge.- Active Shape Models for Customised Prosthesis Design.
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)