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Artificial intelligence in medicine

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Silvana Quaglini 著 / 湖南文艺出版社 / 2001-12 / 平装

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图书 > 计算机与互联网
人工智能医学 /Artificial intelligence in medicine
作者: Silvana Quaglini 著

出版社: 湖南文艺出版社

出版时间: 2001-12

版次: 1

ISBN: 9783540422945

定价: 654.84

装帧: 平装

开本: 其他

纸张: 胶版纸

页数: 489页
内容简介：

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.

目录：

Mediated Agent Interaction

On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems

Prototype Selection and Feature Subset Selection by Estimation of

Distribution Algorithms. A Case Study in the Survival of Cirrhotic

Patients Treated with TIPS

Detection of Infectious Outbreaks in Hospitals through Incremental

Clustering

Minig Data from a Knowledge Management Perspective: An Application to

Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma

Discovering Associations in Clinical Data: Application to Search

for Prognostic Factors in Hodgkin's Disease

Visualisation of Multidimensional Data for Medical Decision Support

A Clustering-Based Constructive Induction Method and Its Application

to Rheumatoid Arthritis

Improving Identification of Difficult Small Classes by Balancing

Class Distribution

Credal Classification for Dementia Screening

Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing

Rate by Machine Learning Tools :

Making Reliable Diagnoses with Machine Learning: A Case Study

A Classification-Tree Hybrid Method for Studying Prognostic Models in

Intensive Care

Combining Unsupervised and Supervised Machine Learning in Analysis of

the CHD Patient Database

Coronary Heart Disease Patient Models Based on

Inductive Machine Learning

Prediction of Protein Secondary Structures of All Types

Using New Hypersphere Machine Learning Method

ntegrating Different Methodologies for Insulin Therapy Support in Type

1 Diabetic Patients

Diagnosing Patient State in Intensive Care Patients Using the Intelligent

Ventilator (INVENT) System

A User Interface for Executing Asbru Plans

Improving HISYS1 with a Decision-Support System

Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through

Support Vector Machines Technique

A Visual Tool for a User-Friendly Artificial Neural Network Based Decision

Support System in Medicine

Modeling of Ventricular Repolarisation Time Series by Multi-layer Perceptrons

……

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