AIME 91

AIME 91
Author: Mario Stefanelli
Publisher: Springer Science & Business Media
Total Pages: 322
Release: 2013-03-08
Genre: Medical
ISBN: 3642486509

This book contains 26 papers describing research in the do- main of Artificial Intelligence in Medicine. The papers are grouped around the following themes: Methodology, knowledge representation, clinical applications, modelling, uncertain- ty management, knowledge acquisition, and the user perspec- tive. The book gives an overview of the current state of AI in medicine research in Europe. It presents several techni- ques and methods that are likely to play an important role in future applications. In the section on clinical applica- tions not only existing systems are described, but results of evaluation studies are presented as well.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Steen Andreassen
Publisher: IOS Press
Total Pages: 522
Release: 1993
Genre: Computers
ISBN: 9789051991413

The knowledge-based management of medical acts in NUCLEUS -- Knowledge Acquisition, Representation & Learning -- Knowledge Representation and Modelling in HYBRIKON -- Knowledge Organisation in Medical KBS Construetion -- A Framework for Modular Knowledge Bases in the Domain of Hypertension Diseases -- KAVAS-2: Knowledge Acquisition, Visualisation and Assessment System -- KAVAS's Framework for quality assessment of medical knowledge -- KAVAS's Conditioning of the Induction Algorithm -- Clinical decision-support in the field of TETANUS serology using an associative storage model implemented in LISP -- Model based learning support to knowledge acquisition: A clinical case study -- MODELS FOR MEDICAL KNOWLEDGE REPRESENTATION AND MEDICAL REASONING IN A C.A.I SYSTEM -- Case Based Reasoning in Clinical Evaluation -- Object-oriented mentality: the most suited paradigm for medical knowledge-based systems -- Applications Based on Neural Nets -- Classification of protein patterns using neural networks: pixel based versus feature based approach -- Evaluation of an epiderniological data set as an example of the application of neural networks to the analysis of large medical data sets -- A Neural Network Modular System for Object Classification in Brain MR Images -- A Neural Network Identifies Faces with Morphological Syndromes -- Grading of Gliomas in Stereotactic Biopsies with Neural Networks -- Self Organizing Maps for the Evaluation of High Resolution ECG -- AUTHOR INDEX

Hearings

Hearings
Author: United States. Congress. House
Publisher:
Total Pages: 1700
Release: 1948
Genre:
ISBN:

Chromium

Chromium
Author:
Publisher:
Total Pages: 60
Release: 1993
Genre: Chromium
ISBN:

Strategic and Critical Minerals and Metals

Strategic and Critical Minerals and Metals
Author: United States. Congress. House. Committee on Public Lands
Publisher:
Total Pages: 1866
Release: 1948
Genre: Mineral industries
ISBN:

Committee Hearing No. 38. Continuation of hearings on strategic and critical materials.

Burning Darkness

Burning Darkness
Author: Joan Ramon Resina
Publisher: State University of New York Press
Total Pages: 320
Release: 2008-07-16
Genre: Performing Arts
ISBN: 079147805X

Encourages a deep reading of a selection of essential Spanish films.

Medical Informatics Europe 1991

Medical Informatics Europe 1991
Author: Klaus-Peter Adlassnig
Publisher: Springer Science & Business Media
Total Pages: 1062
Release: 2013-03-13
Genre: Medical
ISBN: 3642935036

This volume contains the proceedings of the Tenth International Congress on Medical Informatics, MIE 91, that will be held in Vienna, Austria, August 19-22, 1991. The MIE 91 Congress was organized by the European Federation for Medical Informatics (EFMI) in cooperation with the Austrian Computer Society (OCG) and the Austrian Society for Biomedi cal Engineering (OGBMT). It follows the previous congresses in Cambridge (1978), Berlin (1979), Toulouse (1981), Dublin (1982), Brussels (1984), Helsinki (1985), Rome (1987), Oslo (1988), and the Congress 1990 in Glasgow. The proceedings contain 199 contributions to the MIE 91 Congress. They cover all presentations which are part of the scientific programme of MIE 91, among them 157 paper presentations with an average of five pages, 28 poster presentations again with an average of five pages, and 14 abstracts of demonstrations with an average of one page. The papers included were selected by an International Programme Committee out of over 300 submissions after careful review by at least two international reviewers (for whose estimable efforts we are especially thankful). The recommendations of the re viewers were incorporated in the final texts. Some papers were reworked by a professional translator to obtain a high quality of presentation. Several submissions could not be considered for presenta tion at MIE 91 because of shortage of congress time and limitations in the number of pages of the proceedings.

Causal Analytics for Applied Risk Analysis

Causal Analytics for Applied Risk Analysis
Author: Louis Anthony Cox Jr.
Publisher: Springer
Total Pages: 596
Release: 2018-06-19
Genre: Business & Economics
ISBN: 3319782428

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.