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This paper discusses the implementation of a decision support system for the prediction of asthma in a group of children with related medical factors. The system makes use of the survey data that is gathered as part of ISAAC Phase One Study, obtained through questionnaires completed by adolescents at school and at home by the parents of the children. The model is tested on cross-sectional study data...
Cardiotocography (CTG) records fetal heart rate (FHR) signal and intra uterine pressure (IUP) simultaneously. CTG are widely used for diagnosing and evaluates pregnancy and fetus condition until before delivery. The high dimension of CTG data are the problem for classification computation, by extracting feature we can get the useful information from CTG data, and in this research, K-Means Algorithm...
This paper is concerned with predicting the occurrence of periventricular leukomalacia (PVL) using vital and blood gas data which are collected over a period of 12 h after the neonatal cardiac surgery. A data mining approach has been employed to generate a set of rules for classification of subjects as healthy or PVL affected. In view of the fact that blood gas and vital data have different sampling...
This study examined disease models most indicative of risk of Long QT Syndrome (LQTS) in children. Data mined from electronic health records of children confirmed with (n=248) and without (n=101) a diagnosis of LQTS were used to develop a patient profile for LQTS. The profile consisted of 44 distinct features, 17 of which were enriched in LQTS patients. Notably, 66.9% of subjects with a diagnosis...
The traditional way of electroencephalographic data analysis is visual inspection. Expert's classification may not always correspond completely with measured data due to the subjective evaluation and the fact that this kind of evaluation is tedious and time consuming. This paper presents a decision support tool developed both for clinical and nonclinical applications in this field. The proposed solution...
With the development of on line shopping service, more and more web sites appear such as Amazon, Dangdang and so on. In order to satisfy the consumers' contrasting and choosing the same merchandises in different web sites, we present an extractor of extracting images from the result pages of deep web called AIE. This extractor can also get the images from the surface web sites which have some relations...
Change mining gives an insight to the retailers on the changing purchase patterns of the shoppers. Purchase pattern of shoppers sometimes depends on other products purchased. Hence, conditional part of a pattern in the form of an association rule contains products. The research paper proposes an approach for change mining where conditional part may contain products or items.
Mathematical formulas or expressions are essential for presenting scientific knowledge in many research documents in academic areas such as physics and mathematics. Searching for related mathematical formulas is an important but challenging problem as formulas contain both structural and semantic information. Such information is hidden inside the mathematical expressions of the formulas. To support...
The EnforManga is an interactive system for creating comic books based on the simple manipulation of images. To create a comic book that is similar to an actual comic book, the system provides two types of deformations: background and character, which translate images more comically. As a result, the deformed comic book is more like an actual comic book than comics created using conventional systems...
Automatic deep Web query results extraction is a key step of deep Web query results processing. Extracting the query results correctly is the precondition and guarantee of realizing semantic annotation and data integration. In this paper, a simple method for extracting deep Web query results automatically based on tag trees is proposed according to the features of deep Web query results page. The...
This paper proposes a two-pass parsing approach to improve the performance of deterministic dependency parser for long Chinese sentences. In the first pass, the sentence is divided by every comma, semicolon and colon to be parsed separately, and in the second pass, the built sub-trees are integrated to do a reparsing. The error propagation of the deterministic parser is effectively reduced through...
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-features representation is not realistic however: patches often overlap and share underlying image structures. Moreover, important information with respect to relative scales of the features is completely ignored, for the sake...
The Web contains a lot of information about personal social relations, how to efficiently and accurately extract social relations of Web persons is the focus of this study. According to the Web information, this paper classifies and defines the social relations, and selects eight kinds of personal relations to extract their feature words based on a Tongyici Cilin, and then uses the limited nature...
The conditional random fields (CRFs) only can deal with the sequence data of Markov property. And it cannot realize the relationship labeling with more fine structure between semantic roles. An approach to semantic role labeling (SRL) based on chain conditional random fields (CCRFs) model was proposed. The long-distance dependencies between different state variants were handled effectively via labeling...
When adults talk to infants they do that in a different way compared to how they communicate with other adults. This kind of infant directed speech (IDS) typically highlights target words using focal stress and utterance final position. Also, speech directed to infants often refers to objects, people and events in the world surrounding the infant. Because of this, the sound sequences the infant hears...
This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features that repeatedly occur in the set of training images. An information maximization technique is then applied to build a hierarchical classifier for each environment by learning informative visual words. Child nodes in this hierarchy...
Web forums contain a wealth of information resources. Forum data can be widely used in areas such as Internet community mining, information retrieval and public opinion analysis and so on. This paper solves the problems of what should be extracted and how to extract from the Web forums. Aimed at the limitation of current methods to extract data from Web forums, an automated method is proposed to extract...
For facilitating the end-users can utilize available software services to construct the business applications on demand and independently, early works have proposed an end-user oriented and reusable service model-business service. However, the business service needs to be able to be instantiated to support the end-users to express specialized usage manners of business functionality. Utilizing the...
With the large scale deployment of biometrics for access control in private and public places, systems are faced the challenge of processing a diverse range of people. Most systems have been well evaluated for adults, however, their application in schools, or for private door access control, raises the question, whether there exists significant difference in performance between age groups in general...
Robot companions must be able to display social, affective behaviour. As a prerequisite for companionship, the ability to sustain long-term interactions with users requires companions to be endowed with affect recognition abilities. This paper explores application-dependent user states in a naturalistic scenario where an iCat robot plays chess with children. In this scenario, the role of context is...
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