From an expert-driven paper guideline to a user-centred decision support system: a usability comparison study.

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

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

abstract：OBJECTIVE:This paper identifies and reviews ethical issues associated with artificial intelligent care providers (AICPs) in mental health care and other helping professions. Specific recommendations are made for the development of ethical codes, guidelines, and the design of AICPs. METHODS:Current developments in the ...

journal_title：Artificial intelligence in medicine

authors： Luxton DD

更新日期：2014-09-01 00:00:00

abstract：:In this contribution we present an application of a knowledge-based neural network technique in the domain of medical research. We consider the crucial problem of intensive care patients developing a septic shock during their stay at the intensive care unit. Septic shock is of prime importance in intensive care medici...

journal_title：Artificial intelligence in medicine

authors： Paetz J

更新日期：2003-06-01 00:00:00

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

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

更新日期：1994-12-01 00:00:00

abstract：OBJECTIVE:Recently, fuzzy soft sets-based decision making has attracted more and more interest. Although plenty of works have been done, they cannot provide the uncertainty or certainty of their results. To manage uncertainty is one of the most important and toughest tasks of decision making especially in medicine. In ...

journal_title：Artificial intelligence in medicine

authors： Wang J,Hu Y,Xiao F,Deng X,Deng Y

更新日期：2016-05-01 00:00:00

abstract：BACKGROUND AND MOTIVATION:DNA microarray technology has made it possible to determine the expression levels of thousands of genes in parallel under multiple experimental conditions. Genome-wide analyses using DNA microarrays make a great contribution to the exploration of the dynamic state of genetic networks, and furt...

journal_title：Artificial intelligence in medicine

authors： Okada Y,Sahara T,Mitsubayashi H,Ohgiya S,Nagashima T

更新日期：2005-09-01 00:00:00

abstract：BACKGROUND:After several years of treatment, patients with Parkinson's disease (PD) tend to have, as a side effect of the medication, dyskinesias. Close monitoring may benefit patients by enabling doctors to tailor a personalised medication regimen. Moreover, dyskinesia monitoring can help neurologists make more inform...

journal_title：Artificial intelligence in medicine

authors： Pérez-López C,Samà A,Rodríguez-Martín D,Moreno-Aróstegui JM,Cabestany J,Bayes A,Mestre B,Alcaine S,Quispe P,Laighin GÓ,Sweeney D,Quinlan LR,Counihan TJ,Browne P,Annicchiarico R,Costa A,Lewy H,Rodríguez-Molinero A

更新日期：2016-02-01 00:00:00

abstract：OBJECTIVE:We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis regulation. METHODS:We cast both models and background knowledge in terms of processes that interact to account for behavior. We a...

journal_title：Artificial intelligence in medicine

authors： Langley P,Shiran O,Shrager J,Todorovski L,Pohorille A

更新日期：2006-07-01 00:00:00

abstract：:This paper describes a methodology for achieving an efficient implementation of clinical practice guidelines. Three main steps are illustrated: knowledge representation, model simulation and implementation within a health care organisation. The resulting system can be classified as a 'guideline-based careflow manageme...

journal_title：Artificial intelligence in medicine

authors： Quaglini S,Stefanelli M,Cavallini A,Micieli G,Fassino C,Mossa C

更新日期：2000-08-01 00:00:00

abstract：OBJECTIVE:This paper presents continued research toward the development of a knowledge-based system for the diagnosis of human toxic exposures. In particular, this research focuses on the challenging task of diagnosing exposures to multiple toxins. Although only 10% of toxic exposures in the United States involve multi...

journal_title：Artificial intelligence in medicine

authors： Schipper JD,Dankel DD 2nd,Arroyo AA,Schauben JL

更新日期：2013-05-01 00:00:00

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

authors： Smith JW Jr,Bayazitoglu A

更新日期：1993-04-01 00:00:00

abstract：:We introduce a novel approach to couple temporal similarity with spatial neighborhood information. This is achieved by concatenating the K nearest, spatially contiguous neighbors of a pixel time-course (TC) of T time-instances. This produces a new TC of (K+1)T time instances. Depending on how "nearest" is defined, we ...

journal_title：Artificial intelligence in medicine

authors： Somorjai RL,Vivanco R,Pizzi N

更新日期：2002-05-01 00:00:00

abstract：OBJECTIVES:Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI experts around. But are the technology and the field mature enough f...

journal_title：Artificial intelligence in medicine

authors： Leeb R,Perdikis S,Tonin L,Biasiucci A,Tavella M,Creatura M,Molina A,Al-Khodairy A,Carlson T,Millán JD

更新日期：2013-10-01 00:00:00

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

authors： Wolfram DA

更新日期：1995-04-01 00:00:00

abstract：:This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile robots as active players in the therapy of children with autism spectrum disorders (ASD). While a significant volume of work has explored the impact of robots in ASD therapy, most such work comprises remotely operated ...

journal_title：Artificial intelligence in medicine

authors： Melo FS,Sardinha A,Belo D,Couto M,Faria M,Farias A,Gambôa H,Jesus C,Kinarullathil M,Lima P,Luz L,Mateus A,Melo I,Moreno P,Osório D,Paiva A,Pimentel J,Rodrigues J,Sequeira P,Solera-Ureña R,Vasco M,Veloso M,Vent

更新日期：2019-05-01 00:00:00

abstract：OBJECTIVES:Access to the world wide web and multimedia content is an important aspect of life. We present a web browser and a multimedia user interface adapted for control with a brain-computer interface (BCI) which can be used by severely motor impaired persons. METHODS:The web browser dynamically determines the most...

journal_title：Artificial intelligence in medicine

authors： Halder S,Pinegger A,Käthner I,Wriessnegger SC,Faller J,Pires Antunes JB,Müller-Putz GR,Kübler A

更新日期：2015-01-01 00:00:00

abstract：:The research at the IIIA has produced over more than a decade two versions of a tool for developing knowledge-based systems: Milord and Milord II. This tool has been mainly used for the development of medical applications. In this paper we summarize the Milord II approximate reasoning approach based on fuzzy sets, and...

journal_title：Artificial intelligence in medicine

authors： Godo L,de Mántaras RL,Puyol-Gruart J,Sierra C

更新日期：2001-01-01 00:00:00

abstract：:Early recognition of heart disease plays a vital role in saving lives. Heart murmurs are one of the common heart problems. In this study, Artificial Neural Network (ANN) is trained with Modified Neighbor Annealing (MNA) to classify heart cycles into normal and murmur classes. Heart cycles are separated from heart soun...

journal_title：Artificial intelligence in medicine

authors： Eslamizadeh G,Barati R

更新日期：2017-05-01 00:00:00

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

authors： Setiono R

更新日期：1996-02-01 00:00:00

abstract：:The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT (Multi Detector Computed Tomography), among various other invasive an...

journal_title：Artificial intelligence in medicine

authors： Ghosh S,Chattopadhyay BP,Roy RM,Mukherjee J,Mahadevappa M

更新日期：2019-05-01 00:00:00

abstract：:In case-based studies, controls are retrospectively assigned to patients in order to permit a statistical evaluation of the study results through a comparison of the main outcome measures for the patient and retrieved control groups. Inappropriate selection of the controls by using false retrieval parameters or a fals...

journal_title：Artificial intelligence in medicine

authors： Gyöngyösi M,Ploner M,Porenta G,Sperker W,Wexberg P,Strehblow C,Glogar D

更新日期：2002-11-01 00:00:00

abstract：OBJECTIVES:In the presurgical analysis for drug-resistant focal epilepsies, the definition of the epileptogenic zone, which is the cortical area where ictal discharges originate, is usually carried out by using clinical, electrophysiological and neuroimaging data analysis. Clinical evaluation is based on the visual det...

journal_title：Artificial intelligence in medicine

authors： Kassahun Y,Perrone R,De Momi E,Berghöfer E,Tassi L,Canevini MP,Spreafico R,Ferrigno G,Kirchner F

更新日期：2014-06-01 00:00:00

abstract：OBJECTIVE:There is an ongoing research effort devoted to characterize the signal regularity metrics approximate entropy (ApEn) and sample entropy (SampEn) in order to better interpret their results in the context of biomedical signal analysis. Along with this line, this paper addresses the influence of abnormal spikes ...

journal_title：Artificial intelligence in medicine

authors： Molina-Picó A,Cuesta-Frau D,Aboy M,Crespo C,Miró-Martínez P,Oltra-Crespo S

更新日期：2011-10-01 00:00:00

abstract：OBJECTIVE:While EIRA has proved to be successful in the detection of anomalous patient responses to treatments in the Intensive Care Unit, it could not describe to clinicians the rationales behind the anomalous detections. The aim of this paper is to address this problem. METHODS:Few attempts have been made in the pas...

journal_title：Artificial intelligence in medicine

authors： Grando MA,Moss L,Sleeman D,Kinsella J

更新日期：2013-05-01 00:00:00

abstract：OBJECTIVE:In this paper, we aim to evaluate the use of electronic technologies in out of hours (OoH) task-management for assisting the design of effective support systems in health care; targeting local facilities, wards or specific working groups. In addition, we seek to draw and validate conclusions with relevance to...

journal_title：Artificial intelligence in medicine

authors： Perez I,Brown M,Pinchin J,Martindale S,Sharples S,Shaw D,Blakey J

更新日期：2016-10-01 00:00:00

abstract：:Incorporating prior knowledge into black-box classifiers is still much of an open problem. We propose a hybrid Bayesian methodology that consists in encoding prior knowledge in the form of a (Bayesian) belief network and then using this knowledge to estimate an informative prior for a black-box model (e.g. a multilaye...

journal_title：Artificial intelligence in medicine

authors： Antal P,Fannes G,Timmerman D,Moreau Y,De Moor B

更新日期：2003-09-01 00:00:00

abstract：:Hypertensive Retinopathy (HR) caused by hypertension is a retinal disease which may leads to vision loss and blindness. Computer aided diagnostic systems for various diseases are being used in clinics but there is a need to develop an automated system that detects and grades HR disease. In this paper, an automated sys...

journal_title：Artificial intelligence in medicine

authors： Akbar S,Akram MU,Sharif M,Tariq A,Khan SA

更新日期：2018-08-01 00:00:00

abstract：:Automatic arrhythmia detection based on electrocardiogram (ECG) is of great significance for early prevention and diagnosis of cardiac diseases. Recently, deep learning methods have been applied to arrhythmia detection and obtained great success. Among them, convolutional neural network (CNN) is an effective method fo...

journal_title：Artificial intelligence in medicine

authors： Zhang J,Liu A,Gao M,Chen X,Zhang X,Chen X

更新日期：2020-06-01 00:00:00

abstract：OBJECTIVES:A well-developed appointment system can help increase the utilization of medical facilities in an outpatient department. This paper outlines the development of an appointment system that can make an outpatient department work more efficiently and improve patient satisfaction level. METHODS:A Markov decision...

journal_title：Artificial intelligence in medicine

authors： Wang J,Fung RY

更新日期：2015-01-01 00:00:00

abstract：OBJECTIVE:We explore the link between dataset complexity, determining how difficult a dataset is for classification, and classification performance defined by low-variance and low-biased bolstered resubstitution error made by k-nearest neighbor classifiers. METHODS AND MATERIAL:Gene expression based cancer classificat...

journal_title：Artificial intelligence in medicine

authors： Okun O,Priisalu H

更新日期：2009-02-01 00:00:00