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  • Produktbild: Artificial Intelligence in Medicine
  • Produktbild: Artificial Intelligence in Medicine

Artificial Intelligence in Medicine 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, Verona, Italy, July 18-22, 2009, Proceedings

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.07.2009

Herausgeber

Carlo Combi + weitere

Verlag

Springer Berlin

Seitenzahl

439

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

692 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02975-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.07.2009

Herausgeber

Verlag

Springer Berlin

Seitenzahl

439

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

692 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02975-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Artificial Intelligence in Medicine
  • Produktbild: Artificial Intelligence in Medicine
  • Invited Talks.- Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record.- Computer Vision: A Plea for a Constructivist View.- Temporal Reasoning and Temporal Data Mining.- Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use.- A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology.- Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval.- Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection.- Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up.- Therapy Planning, Scheduling and Guideline-Based Care.- Modeling Clinical Guidelines through Petri Nets.- Optimization of Online Patient Scheduling with Urgencies and Preferences.- Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling.- Analysing Clinical Guidelines’ Contents with Deontic and Rhetorical Structures.- A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance.- Goal-Based Decisions for Dynamic Planning.- Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients.- Case-Based Reasoning.- Feasibility of Case-Based Beam Generation for Robotic Radiosurgery.- Conversational Case-Based Reasoning in Medical Classification and Diagnosis.- Medical Imaging.- Histopathology Image Classification Using Bag of Features and Kernel Functions.- Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study.- Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach.- A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images.- Knowledge-Based and Decision-Support Systems.- Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care.- Steps on the Road to Clinical Application of Decision Support – Example TREAT.- Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing.- A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients.- A Mobile Clinical Decision Support System for Clubfoot Treatment.- An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression.- An Advanced Platform for Managing Complications of Chronic Diseases.- One Telemedical Solution in Bulgaria.- A Novel Multilingual Report Generation System for Medical Applications.- Ontologies, Terminologies and Natural Language.- CORAAL – Towards Deep Exploitation of Textual Resources in Life Sciences.- Detecting Intuitive Mentions of Diseases in Narrative Clinical Text.- Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature.- An Ontology for the Care of the Elder at Home.- Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises.- HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management.- Explaining Anomalous Responses to Treatment in the Intensive Care Unit.- Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval.- CodeSlinger: An Interactive Biomedical Ontology Browser.- Data Mining, Machine Learning, Classification and Prediction.- Subgroup Discovery in Data Sets with Multi–dimensional Responses: A Method and a Case Study in Traumatology.- A Framework for Multi-class Learning in Micro-array Data Analysis.- Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis.- Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System.- Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator.- Voice Pathology Classification by Using Features from High-Speed Videos.- Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines.- Automatic Detecting Documents Containing Personal Health Information.- Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis.- An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD.- Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis.- Mining Discriminant Sequential Patterns for Aging Brain.- The Role of Biomedical Dataset in Classification.- Online Prediction of Ovarian Cancer.- Prediction of Mechanical Lung Parameters Using Gaussian Process Models.- Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment.- Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks.- Probabilistic Modeling and Reasoning.- Causal Probabilistic Modelling for Two-View Mammographic Analysis.- Modelling Screening Mammography Images: A Probabilistic Relational Approach.- Data-Efficient Information-Theoretic Test Selection.- Gene and Protein Data.- Effect of Background Correction on Cancer Classification with Gene Expression Data.- On Quality of Different Annotation Sources for Gene Expression Analysis.- An Architecture for Automated Reasoning Systems for Genome-Wide Studies.- A Mutual Information Approach to Data Integration for Alzheimer’s Disease Patients.