听力与言语-语言病理学

行为科学

医学伦理学

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  • The determination of three subcutaneous adipose tissue compartments in non-insulin-dependent diabetes mellitus women with artificial neural networks and factor analysis.

    abstract::The optical device LIPOMETER allows for non-invasive, quick, precise and safe determination of subcutaneous fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). In this paper, we show how the high-dimensional SAT-Top information of women with type-2 diabetes mellitus (non-insulin-dependent dia...

    journal_title:Artificial intelligence in medicine

    pub_type: 临床试验,杂志文章

    doi:10.1016/s0933-3657(99)00017-2

    authors: Tafeit E,Möller R,Sudi K,Reibnegger G

    更新日期:1999-10-01 00:00:00

  • Case-based prediction in experimental medical studies.

    abstract::Case-based approaches predict the behaviour of dynamic systems by analysing a given experimental setting in the context of others. To select similar cases and to control adaptation of cases, they employ general knowledge. If that is neither available nor inductively derivable, the knowledge implicit in cases can be ut...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00057-8

    authors: Seitz A,Uhrmacher AM,Damm D

    更新日期:1999-03-01 00:00:00

  • Modelling prognostic power of cardiac tests using rough sets.

    abstract::Rough sets (Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data, Dordrecht: Kluwer Academic Publishers, 1991) is a relatively new approach to representing and reasoning with incomplete and uncertain knowledge. This article introduces the basic concepts of rough sets and Boolean reasoning (Brown FM. Boole...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00051-7

    authors: Komorowski J,Ohrn A

    更新日期:1999-02-01 00:00:00

  • Evolving artificial neural networks for screening features from mammograms.

    abstract::Disagreement or inconsistencies in mammographic interpretation motivates utilizing computerized pattern recognition algorithms to aid the assessment of radiographic features. We have studied the potential for using artificial neural networks (ANNs) to analyze interpreted radiographic features from film screen mammogra...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00040-2

    authors: Fogel DB,Wasson EC 3rd,Boughton EM,Porto VW

    更新日期:1998-11-01 00:00:00

  • Medical dictionaries for patient encoding systems: a methodology.

    abstract::Medical language is highly compositional and makes extensive use of common roots, especially Latino-Greek roots. Besides words devoted to common sense, medical language presents some typical characteristics, especially on morphological and semantic aspects of word formation. Morphological decomposition and identificat...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00023-2

    authors: Lovis C,Baud R,Rassinoux AM,Michel PA,Scherrer JR

    更新日期:1998-09-01 00:00:00

  • Treatment of missing data values in a neural network based decision support system for acute abdominal pain.

    abstract::In this study different substitution methods for the replacement of missing data values were inspected for the use of these cases in a neural network based decision support system for acute appendicitis. The leucocyte count had the greatest number of missing values and was used in the analyses. Four different methods ...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00027-x

    authors: Pesonen E,Eskelinen M,Juhola M

    更新日期:1998-07-01 00:00:00

  • Computer models of hippocampal circuit changes of the kindling model of epilepsy.

    abstract::Abnormalities in the organization of brain circuits may underlie many types of epilepsy. This hypothesis can best be evaluated in the case of temporal lobe epilepsy, where evidence of rewiring (synaptic reorganization) can be found in the dentate gyrus. Computer modeling of normal and reorganized dentate gyrus was use...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(98)00005-0

    authors: Lytton WW,Hellman KM,Sutula TP

    更新日期:1998-05-01 00:00:00

  • Development of systems for support of collaboration in health care: the design arenas.

    abstract::To explore the design of computer-supported collaborative work in health care, a case study is described addressing the social contexts and conditions influencing the development process. The data set covers 13 consecutive meetings held in a systems design group over a 2-year period, in total approximately 24 h of vid...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(97)00046-8

    authors: Timpka T,Sjöberg C

    更新日期:1998-02-01 00:00:00

  • Case-based reasoning for medical decision support tasks: the Inreca approach.

    abstract::We describe an approach for developing knowledge-based medical decision support systems based on the new technology of case-based reasoning. This work is based on the results of the Inreca European project and preliminary results from the Inreca + project which mainly deals with medical applications. One goal was to s...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(97)00038-9

    authors: Althoff KD,Bergmann R,Wess S,Manago M,Auriol E,Larichev OI,Bolotov A,Zhuravlev YI,Gurov SI

    更新日期:1998-01-01 00:00:00

  • Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model.

    abstract::The process of patient care performed by an anaesthesiologist during high invasive surgery requires fundamental knowledge of the physiologic processes and a long standing experience in patient management to cope with the inter-individual variability of the patients. Biomedical engineering research improves the patient...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(97)00020-1

    authors: Becker K,Thull B,Käsmacher-Leidinger H,Stemmer J,Rau G,Kalff G,Zimmermann HJ

    更新日期:1997-09-01 00:00:00

  • Retrieving cases for treatment advice in nursing using text representation and structured text retrieval.

    abstract::A nursing database which records patient details and treatments as fields in a standard database format is transformed into a collection, in text form, of patient case days with history. Each case is represented as text strings encoding the patient details, the current problems, treatments and their associated history...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(96)00362-4

    authors: Yearwood J,Wilkinson R

    更新日期:1997-01-01 00:00:00

  • Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants.

    abstract::Medical diagnosis and therapy planning at modern intensive care units (ICUs) have been refined by the technical improvement of their equipment. However, the bulk of continuous data arising from complex monitoring systems in combination with discontinuously assessed numerical and qualitative data creates a rising infor...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/s0933-3657(96)00355-7

    authors: Miksch S,Horn W,Popow C,Paky F

    更新日期:1996-11-01 00:00:00

  • Generating recipient-centered explanations about drug prescription.

    abstract::In this paper we describe how we generated written explanations to 'indirect users' of a knowledge-based system in the domain of drug prescription. We call 'indirect users' the intended recipients of explanations, to distinguish them from the prescriber (the 'direct' user) who interacts with the system. The Explanatio...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(95)00029-1

    authors: De Carolis B,de Rosis F,Grasso F,Rossiello A,Berry DC,Gillie T

    更新日期:1996-05-01 00:00:00

  • Extracting rules from pruned networks for breast cancer diagnosis.

    abstract::A new algorithm for neural network pruning is presented. Using this algorithm, networks with small number of connections and high accuracy rates for breast cancer diagnosis are obtained. We will then describe how rules can be extracted from a pruned network by considering only a finite number of hidden unit activation...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(95)00019-4

    authors: Setiono R

    更新日期:1996-02-01 00:00:00

  • An appraisal of INTERNIST-I.

    abstract::INTERNIST-I was an expert system designed in the early 1970's to diagnose multiple diseases in internal medicine by modelling the behaviour of clinicians. Its form and operation are described, and evaluations of the system are surveyed. The major result of the project was its knowledge base which has been used in succ...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(94)00028-q

    authors: Wolfram DA

    更新日期:1995-04-01 00:00:00

  • An object-oriented approach to knowledge representation in a biomedical domain.

    abstract::An object-oriented approach has been applied to the different stages involved in developing a knowledge base about insulin metabolism. At an early stage the separation of terminological and assertional knowledge was made. The terminological component was developed by medical experts and represented in CORE. An object-...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(94)90025-6

    authors: Ensing M,Paton R,Speel PH,Rada R

    更新日期:1994-12-01 00:00:00

  • Identifying the measurement noise in glaucomatous testing: an artificial neural network approach.

    abstract::Diagnosis of visual function losses in glaucomatous patients depends to a large extent on the analysis of the data collected from corresponding psychophysical tests. One of the main difficulties in obtaining reliable data from patients in these tests is the measurement noise caused by the learning effect, inattention,...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(94)90004-3

    authors: Liu X,Cheng G,Wu JX

    更新日期:1994-10-01 00:00:00

  • Finding temporal patterns--a set-based approach.

    abstract::We created an inference engine and query language for expressing temporal patterns in data. The patterns are represented by using temporally-ordered sets of data objects. Patterns are elaborated by reference to new objects inferred from original data, and by interlocking temporal and other relationships among sets of ...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(94)90066-3

    authors: Wade TD,Byrns PJ,Steiner JF,Bondy J

    更新日期:1994-06-01 00:00:00

  • Neural network based classification of single-trial EEG data.

    abstract::Standard Back Propagation (BP), Partially Recurrent (PR) and Cascade-Correlation (CC) neural networks were used to predict the side of finger movement on the basis of non-averaged single trial multi-channel EEG data recorded prior to movement. From these EEG data, power values were calculated and used as parameters fo...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(93)90040-a

    authors: Masic N,Pfurtscheller G

    更新日期:1993-12-01 00:00:00

  • Specification of models in large expert systems based on causal probabilistic networks.

    abstract::Problems involved in the specification of large expert systems are discussed. In the specification of causal probabilistic networks conditional probability tables for all nodes have to be provided. These conditional probability tables can often be described by models that specify the nature of interaction between node...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章

    doi:10.1016/0933-3657(93)90029-3

    authors: Olesen KG,Andreassen S

    更新日期:1993-06-01 00:00:00

  • Exploring the relationship between rationality and bounded rationality in medical knowledge-based systems.

    abstract::If our goal in Artificial Intelligence in Medicine (AIM) is to engineer systems health-care providers will both use and, in the process, improve their performance, we must concentrate on the development of causal theories of knowledge and problem solving. One broad direction in pursuing this goal is understanding the ...

    journal_title:Artificial intelligence in medicine

    pub_type: 杂志文章,评审

    doi:10.1016/0933-3657(93)90013-s

    authors: Smith JW Jr,Bayazitoglu A

    更新日期:1993-04-01 00:00:00

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