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人工智能医学

【作　者】：Silvana Quaglini 著

【又/译名】：Artificial intelligence in medicine

【丛编项】：无

【装帧项】：平装 / 489

【出版项】：湖南文艺出版社 / 2001-12-1

【ISBN号】：9783540422945 / 3540422943

【原书定价】：￥654.84　有2家书店打折销售　

【主题词】：计算机/网络－人工智能

书籍介绍

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【图书简介】
　　在线阅读本书This book constitutes the refereed proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe， AIME 2001， held in Cascais， Portugal in July 2001. The 31 revised full papers presented together with 30 posters and two invited papers were carefully reviewed and selected from 79 submissions. Among the topics addressed in their context on medical information processing are knowledge management， machine learning， data mining， decision support systems， temporal reasoning， case-based reasoning， planning and scheduling， natural language processing， computer vision， image and signal interpretation， intelligent agents， telemedicine， careflow systems， and cognitive modeling.-读书网|DuShu.com

【本书目录】
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
……
Author Index

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