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Yasuyuki Tomita,Shuta Tomida,Taro Shirakawa
Introduction Screening of various gene markers (e.g., microsatellite polymorphisms, variable number of tandem repeats, single nucleotide polymorphism (SNP)) and correlation between these markers and pathogenesis of allergic disease have been studied. However, there have been no proposed prediction models with high accuracy using such factors. In order to predict development ...
Samli M Murat - - 2004
PURPOSE: We developed an artificial neural network (ANN) for predicting spermatozoa prior to testicular biopsy in men with nonobstructive azoospermia. The performance of this ANN was compared to that of the standard logistic regression (LR) model. MATERIALS AND METHODS: Data were retrospectively collected from the physical examination and laboratory records ...
Nasal Antoni - - 2004
The performance of artificial neural network (ANN) in predicting the affinity of a series of 65 new azapirone derivatives for rat brain serotonin 5-HT1A receptors based on high-performance liquid chromatography (HPLC) retention data and on non-empirical structural parameters of the compounds' was studied. Affinity of the agents for rat brain ...
Miccoli Paolo - - 2004
Minimally invasive, video-assisted thyroidectomy (MIVAT) was first used in Pisa in 1998. The technique is characterized by a unique central access and external retraction. There is controversy about the validity and limited indications of this and other minimally invasive thyroidectomy techniques, but MIVAT looks promising. The results of MIVAT, in ...
Jouyban Abolghasem - - 2004
Application of the artificial neural network (ANN) to calculate the solubility of drugs in water-cosolvent mixtures was shown using 35 experimental data sets. The networks employed were feedforward backpropagation errors with one hidden layer. The topology of neural network was optimized and the optimum topology achieved was a 6-5-1 architecture. ...
Bucinski Adam - - 2004
Artificial neural networks (ANNs) have been applied for the quantitative structure-activity relationships (QSAR) studies of antibacterial activity against Escherichia coli, Serratia marcescens, Proteus vulgaris, Klebsiella pneumoniae and Pseudomonas aeruginosa of a large series of new imidazole derivatives. Antibacterial activity against individual bacteria, expressed as logarithm of reciprocal of the minimal ...
Gamito Eduard J - - 2004
Artificial neural networks (ANNs) represent a relatively new methodology for predictive modeling in medicine. ANNs, a form of artificial intelligence loosely based on the brain, have a demonstrated ability to learn complex and subtle relationships between variables in medical applications. In contrast with traditional statistical techniques, ANNs are capable of ...
Ennett Colleen M - - 2004
The lengthy process of manually optimizing a feedforward backpropagation artificial neural network (ANN) provided the incentive to develop an automated system that could fine-tune the network parameters without user supervision. A new stopping criterion was introduced--the logarithmic-sensitivity index--that manages a good balance between sensitivity and specificity of the output classification. ...
Fujishima Satoshi - - 2004
In the former work, the authors proposed the Topological Fragment Spectral (TFS) method as a tool for the description of the topological structure profile of a molecule. This paper describes the TFS-based artificial neural network (TFS/ANN) approach for the classification and the prediction of pharmacological active classes of chemicals. Dopamine ...
Kapetanovic Izet M - - 2004
Bioinformatics, in its broad sense, involves application of computer processes to solve biological problems. A wide range of computational tools are needed to effectively and efficiently process large amounts of data being generated as a result of recent technological innovations in biology and medicine. A number of computational tools have ...
Neugebauer E A M - - 2004
BACKGROUND: Our understanding of the complex network of pathophysiology after multiple injury is limited. It is proposed to overcome the limitations of the traditional linear reductionism approach by merging the expertise of biology and medicine with other disciplines such as mathematics, physics and computer science. METHODS: We organized a two-days-workshop, ...
Smith Jack R - - 2004
We present a Surrogate (semiempirical) Model for prediction of protein adsorption onto the surfaces of biodegradable polymers that have been designed for tissue engineering applications. The protein used in these studies, fibrinogen, is known to play a key role in blood clotting. Therefore, fibrinogen adsorption dictates the performance of implants ...
De Saedeleer Bernard - - 2004
The dynamics of an artificial satellite of the moon is quite different from the dynamics of an artificial satellite of the Earth. Indeed, the C(22) term is only 1/10 of the J(2) term, and the effect of the Earth on the lunar satellite is much larger than the effect of ...
Pérez-Magariño S - - 2004
Classical multivariate analysis techniques such as factor analysis and stepwise linear discriminant analysis and artificial neural networks method (ANN) have been applied to the classification of Spanish denomination of origin (DO) rose wines according to their geographical origin. Seventy commercial rose wines from four different Spanish DO (Ribera del Duero, ...
Gulliford Sarah L - - 2004
BACKGROUND AND PURPOSE: This paper discusses the application of artificial neural networks (ANN) in predicting biological outcomes following prostate radiotherapy. A number of model-based methods have been developed to correlate the dose distributions calculated for a patient receiving radiotherapy and the radiobiological effect this will produce. Most widely used are ...
Szabó Botond K - - 2004
The discriminative ability of established diagnostic criteria for MRI of the breast is assessed, and their relative relevance using artificial neural networks (ANNs) is determined. A total of 89 women with 105 histopathologically verified breast lesions (73 invasive cancers, 2 in situ cancers, and 30 benign lesions) were included in ...
Kuzmanovski I - - 2004
The determination of the components of the sialoliths is important both from the point of view of chances for a successful medical treatment of the patients and because the prevention of further re-occurrence of sialolithiasis depends upon the knowledge of the nature of the constituents of the concrements. Despite the ...
Kaan Edith - - 2004
We tested the cross-linguistic generalizability of three models of sentence processing complexity--Lewis (1996), Gibson (1998, 2000), and Gordon (Gordon, Hendrick, & Johnson, 2001; Gordon, Hendrick, & Levine, 2002)--by investigating the on-line processing of cross-serial dependencies in Dutch. The number of subject-verb relations in a clause was manipulated, as well as ...
Marengo Emilio - - 2004
Different calibration methods have been applied for the determination of the Hydroxyl Number in polyester resins, namely Partial Least Squares (PLS), Principal Component Regression (PCR), Ordinary Least Squares with selection of the variables by genetic algorithm (OLS-GEN) and back-propagation Artificial Neural Networks (BP-ANN). The predictive ability of the regression models ...
Türkoğlu Murat - - 2004
In this study, fluidized-bed manufactured enteric-coated omeprazole pellets were compressed into tablets. The stability of the pellets and those of compressed tablets were evaluated for remaining omeprazole and for degradation products under an accelerated stability protocol. The data were analyzed using the artificial neural network (ANN) and analysis of variance ...
Lajbcygier Paul - - 2004
In the past decade, many studies across various financial markets have shown conventional option pricing models to be inaccurate. To improve their accuracy, various researchers have turned to artificial neural networks (ANNs). In this work a neural network is constrained in such a way that pricing must be rational at ...
Gabutti Luca - - 2004
BACKGROUND: Artificial neural networks (ANN) represent a promising alternative to classical statistical and mathematical methods to solve multidimensional non-linear problems. The aim of the study was to compare the performance of ANN in predicting the dialysis quality (Kt/V), the follow-up dietary protein intake and the risk of intradialytic hypotension in ...
Subramanian Narayanaswamy - - 2004
The objective of the study was to optimize the formulation parameters of cytarabine liposomes by using artificial neural networks (ANN) and multiple regression analysis using 3(3) factorial design (FD). As model formulations, 27 formulations were prepared. The formulation variables, drug (cytarabine)/lipid (phosphatidyl choline [PC] and cholesterol [Chol]) molar ratio (X1), ...
Parsons Thomas D - - 2004
The aim of this research was to compare the data analytic applicability of a backpropagated neural network with that of regression analysis. Thirty individuals between the ages of 64 and 86 (Mean age = 73.6; Mean years education = 15.4; % women = 50) participated in a study designed to ...
Britto Leandro R - - 2004
OBJECTIVE: The aim of this study was to perform a qualitative assessment of the personal video monitor (PVM) as an accessory to the dental operating microscope (DOM). METHOD AND MATERIALS: The PVM was attached to a color video monitor, which was already attached to a DOM through a beam splitter. ...
Marchevsky Alberto M - - 2004
The classification of small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) can pose diagnostic problems due to inter-observer variability and other limitations of histopathology. There is an interest in developing classificatory models of lung neoplasms based on the analysis of multivariate molecular data with statistical methods and/or ...
Safavi Afsaneh - - 2004
Artificial neural networks (ANNs) are proposed for the determination of sulfite and sulfide simultaneously. The method is based on the reaction between Brilliant Green (BG) as a colored reagent and sulfite and/or sulfide in buffered solution (pH 7.0) and monitoring the changes of absorbance at maximum wavelength of 628nm. Experimental ...
Stefaniak Bogusław - - 2004
In CAD, left ventricular function depends on the condition of myocardial perfusion, hence it may be presumed that blood flow abnormalities may enable the LVEF to be predicted. The aim of the study was to apply an Artificial Neural Network (ANN) to investigate the relationships between myocardial perfusion and LVEF, ...
Heckerling Paul S - - 2004
BACKGROUND: Genetic algorithms have been used to solve optimization problems for artificial neural networks (ANN) in several domains. We used genetic algorithms to search for optimal hidden-layer architectures, connectivity, and training parameters for ANN for predicting community-acquired pneumonia among patients with respiratory complaints. METHODS: Feed-forward back-propagation ANN were trained on ...
Vázquez M J - - 2004
Electronic artificial noses are being developed as systems for the automated detection and classification of odours, vapors and gases. In the food industry, such devices are used as aids for quality control or process-monitoring tools. An electronic nose (EN) is generally composed of a chemical sensing system and a pattern ...
Seuchter S A - - 2004
OBJECTIVES: In schizophrenia research, little attention yet has been directed on methods for analyzing data from studies with repeated measurements over time. Motivation for this research stems from a project within the German Research Network on Schizophrenia, in which an algorithm is developed to guide prodrome-based early intervention strategies in ...
Brion G - - 2004
A database was examined using artificial neural network (ANN) models to investigate the efficacy of predicting PCR-identified Norwalk-like virus presence and absence in shellfish. The relative importance of variables in the model and the predictive power obtained by application of ANN modelling methods were compared with previously developed logistic regression ...
Polak Sebastian - - 2004
Pharmacoeconomics research identifies, measures, and compares the costs (resources consumed) and consequences of medical products and services, where at least one of the compared alternatives is pharmacotherapy. Pharmacoeconomics has been designed to enable the decision maker to identify the preferred choice among existing alternatives. The decisions are often important for ...
Kuo Yi Ming - - 2004
The back-propagation (BP) artificial neural network (ANN) is applied to forecast the variation of the quality of groundwater in the blackfoot disease area in Taiwan. Three types of BP ANN models were established to evaluate their learning performance. Model A included five concentration parameters as input variables for seawater intrusion ...
Kubo Takuya - - 2004
A hepatotoxin produced by cyanobacteria, microcystin (MC), was chromatographically discriminated with newly prepared artificial trapping devices. MC involves up to 70 kinds of homologues, and because homologues have similar toxicity, effective removal and analysis methods have been required. As a trapping device to discriminate MC, we have developed a novel ...
Ayala Melvin - - 2004
This study introduces a simplified approach for the implementation of artificial neural networks (ANN) for the recognition of epileptic data in electroencephalograph (EEG) recordings. The training set construction is based on a trend-adaptive polygon which simplifies the search process as it reduces the size of the training set. This data ...
Coli Pierluigi - - 2004
PURPOSE: The aim of this study was to determine in vitro the internal and marginal fit of zirconium dioxide ceramic copings manufactured using a recently introduced CAD/CAM-based technique (Denzir). MATERIALS AND METHODS: Two master models were produced in metal, representing the maxillary right central incisor and first premolar. Two A-silicone ...
Baldassarre Damiano - - 2004
BACKGROUND: Artificial neural networks (ANNs) are computer algorithms inspired by the highly interactive processing of the human brain. When exposed to complex data sets, ANNs can learn the mechanisms that correlate different variables and perform complex classification tasks. AIMS: A database, of 949 patients and 54 variables, was analysed to ...
Liu Y - - 2004
Efron's bootstrap resampling method is used to analyze the performance of artificial neural networks (ANNs) in the area of feature classification for the analysis of mammographic masses. The purpose of feature classification in mammography is to discover the salient information that can be used to discriminate benign from malignant masses. ...
Holownia K - - 2004
Our objective was to simulate the pink color defect in cooked chicken breast meat with treatment combinations that would induce measurable changes in the conditions of raw meat. In addition, the feasibility of using induced raw meat conditions to develop a logistic regression model for prediction of pinking was studied. ...
Frize M - - 2004
Two different approaches, based on artificial neural networks (ANN) and fuzzy logic, were used to predict a number of outcomes of newborns: How they would be delivered, their 5 minute Apgar score, and neonatal mortality. The goal was to assess whether the methods would be comparable or whether they would ...
Buscema Massimo - - 2004
Data from several studies have pointed out the existence of a strong correlation between Alzheimer's disease (AD) neuropathology and cognitive state. However, because of their highly complex and nonlinear relationship, it has been difficult to develop a predictive model for individual patient classification through traditional statistical approaches. When exposed to ...
Hernández Silvia R - - 2003
Vitamins B(6) (VB(6)) and B(12) (VB(12)) were simultaneously determined in pharmaceutical preparations by using square wave voltametry (SWV) together with artificial neural networks (ANNs). Supporting electrolyte solution, pH and voltametric technique were optimised. The calibration set was built with several artificial samples containing both active ingredients and excipients. Deviations from ...
Gansky S A - - 2003
Knowledge Discovery and Data Mining (KDD) have become popular buzzwords. But what exactly is data mining? What are its strengths and limitations? Classic regression, artificial neural network (ANN), and classification and regression tree (CART) models are common KDD tools. Some recent reports (e.g., Kattan et al., 1998) show that ANN ...
Chen Yun-Feng - - 2003
OBJECTIVE: To recognize and assess the impact of the South-to-north Water Transfer Project (SNWTP) on the ecological environment of Xiangfan, Hubei Province, situated in the water-out area, and develop sound scientific countermeasures. METHODS: A three-layer BP network was built to simulate topology and process of the eco-economy system of Xiangfan. ...
Coleman Matthew C - - 2003
Using a fermentation database for Escherichia coli producing green fluorescent protein (GFP), we have implemented a novel three-step optimization method to identify the process input variables most important in modeling the fermentation, as well as the values of those critical input variables that result in an increase in the desired ...
Agatonovic-Kustrin Snezana - - 2003
PURPOSE: The aim of this project was to develop a colloidal dosage form for the oral delivery of rifampicin and isoniazid in combination with the aid of artificial neural network (ANN) data modeling. METHODS: Data from the 20 pseudoternary phase triangles containing miglyol 812 as the oil component and a ...
Simpson Jeffry A - - 2003
This study tested predictions from W. Ickes and J. A. Simpson's (1997, 2001) empathic accuracy model. Married couples were videotaped as they tried to resolve a problem in their marriage. Both spouses then viewed a videotape of the interaction, recorded the thoughts and feelings they had at specific time points, ...
Gholmieh Ghassan - - 2003
A tissue-based biosensor is described for screening chemical compounds that rapidly affect the nervous system. The proposed sensor is an extension of a previous work on cultured hippocampal slices [Biosens. Bioelectron. 16 (2001) 491]. The detection of the chemical compounds is based on a novel quantification method of short-term plasticity ...
Mohamed E I - - 2003
Artificial neural networks (ANN) are used for a wide variety of data-processing applications such as predicting medical outcomes and classifying clinical data and patients. We investigated the applicability of an ANN for estimating the intracellular water compartment for a population of 104 healthy Italians ranging in age from 19 to ...
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