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Artificial Intelligence in Medicine
6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26,1997, Proceedings, Lecture Notes in Computer Science 1211 - Lecture Notes in Artificial Intelligence
ISBN/EAN: 9783540627098
Umbreit-Nr.: 1462031
Sprache:
Englisch
Umfang: xiv, 534 S.
Format in cm:
Einband:
kartoniertes Buch
Erschienen am 12.03.1997
- Zusatztext
- InhaltsangabeRobots as surgical assistants: Where we are, wither we are tending, and how to get there.- Intelligent image management in an integrated telemedicine services network.- AI technologies: Conditions for further impact.- Protocols for medical procedures and therapies: A provisional description of the PROforma language and tools.- Supporting tools for guideline development and dissemination.- A task-specific ontology for the application and critiquing of time-oriented clinical guidelines.- User-adapted multimedia explanations in a clinical guidelines consultation system.- Algorithm and care pathway: Clinical guidelines and healthcare processes.- Detecting very early stages of dementia from normal aging with Machine Learning methods.- Acquiring and validating background knowledge for machine learning using function decomposition.- Automated revision of expert rules for treating acute abdominal pain in children.- Evaluation of automatic and manual knowledge acquisition for cerebrospinal fluid (CSF) diagnosis.- Knowledge acquisition by the domain expert using the tool HEMATOOL.- Application of inductive logic programming for learning ECG waveforms.- Knowledge discovery from a breast cancer database.- An adaptive two-tier menu approach to support on-line entry of diagnoses.- Machine learning applied to diagnosis of sport injuries.- A theoretical framework for decision trees in uncertain domains: Application to medical data sets.- Developing a decision-theoretic network for a congenital heart disease.- A theory of medical diagnosis as hypothesis refinement.- A new approach to feature selection.- A heuristic approach to the multiple diagnoses problem.- Intelligent assistance for coronary heart disease diagnosis: A comparison study.- Diagnosis and monitoring of ulnar nerve lesions.- Hypothesist: A development environment for intelligent diagnostic systems.- The clinical spectrum of decision-support in oncology with a case report of a real world system.- A Case-Based Reasoning method for computer-assisted diagnosis in histopathology.- The validation of an expert system for diagnosis of acute myocardial infarction.- A causal-functional model applied to EMG diagnosis.- Learning Bayesian Networks by Genetic Algorithms: A case study in the prediction of survival in malignant skin melanoma.- A neuro-fuzzy-classifier for a knowledge-based glaucoma monitor.- A method for diagnosing in large medical expert systems based on causal probabilistic networks.- Dynamic decision making in stochastic partially observable medical domains: Ischemic heart disease example.- Self-learning fuzzy logic control in medicine.- Planning and scheduling patient tests in hospital laboratories.- Temporal Abstractions for diabetic patients management.- Temporal scenario recognition for intelligent patient monitoring.- Medical planning environment.- Strengthening argumentation in medical explanations by text plan revision.- An ontological analysis of surgical deeds.- Building medical dictionaries for patient encoding systems: A methodology.- A Semantics-based communication system for dysphasic subjects.- Multilingual decision-support for the diagnosis of acute abdominal pain: An European Concerted Action (COPERNICUS 555).- Medical Concept systems, lexicons and Natural Language Generation.- Distributed plan construction and execution for medical image interpretation.- Improved identification of the human shoulder kinematics with muscle biological filters.- A society of goal-oriented agents for the analysis of living cells.- Methodology for the design of digital brain atlases.- Rule-based labeling of CT head image.- Characterisation of tumorous tissue in rat brain by in vitro magnetic resonance spectroscopy and Artificial Neural Networks.- An application of Machine Learning in the diagnosis of ischaemic heart disease.- Meta-level learning in a hybrid knowledge-based architecture.- A framework for building cooperating agents.- Adding knowledge to information retrieval system