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Data mining can be described as " making better use of data ". Every human being is increasingly faced with unmanageable amounts of data, hence, data mining or knowledge discovery apparently affects all of us. It is therefore recognized as one of the key research areas. Ideally, we would like to develop techniques for " making better use of any kind of data(More)
We predict stock markets using information contained in articles published on the Web. Mostly textual articles appearing in the leading and the most influential financial newspapers are taken as input. From those articles the daily closing values of major stock market indices in Asia, Europe and America are predicted. Textual statements contain not only the(More)
Previous factor analyses of catatonia have yielded conflicting results for several reasons including small and/or diagnostically heterogeneous samples and incomparability or lack of standardized assessment. This study examined the factor structure of catatonia in a large, diagnostically homogenous sample of patients with chronic schizophrenia using(More)
BACKGROUND Catatonic signs and symptoms are frequently observed in patients with chronic schizophrenia. Clinical surveys have suggested that the composition of catatonic syndrome occurring in chronic schizophrenia may be different from what is found in acute psychiatric disorders or medical conditions. Consequently, this patient population may need(More)
No reports have yet been published on catatonia using latent class analysis (LCA). This study applied LCA to a large, diagnostically homogenous sample of patients with chronic schizophrenia who also presented with catatonic symptoms. A random sample of 225 Chinese inpatients with DSM-IV schizophrenia was selected from the long-stay wards of a psychiatric(More)
The objective of the study was to determine the point prevalence of tardive dyskinesia (TD) in Chinese inpatients with chronic schizophrenia and its association with sociodemographic, clinical and treatment variables and other movement disorders. A cross-sectional assessment of a randomly selected cohort of inpatients (n=225; mean age=42+/-7 years) with(More)
There is large amount of financial data that are generated and evaluated at a high speed. These financial data is coming continuously, changing with time and may be unpredictable. Therefore there is a critical need for automated approaches to effective and efficient utilization of large amount of data to support companies and individuals for(More)
Nasopharyngeal carcinoma (NPC) is a commonly occurring cancer among Hong Kong Chinese, especially in the relatively young population group. Since the disease carries a favorable prognosis, sequelae following treatment have become an important concern for patients suffering from NPC, particularly because of the strong interplay of psychological, social, and(More)
Over a period of 3 years, we have collected the carotid ultrasound findings of 189 post-radiotherapy (RT) nasopharyngeal carcinoma patients. The patients had duplex ultrasound examination for assessment of extracranial carotid stenosis. Factors including age, sex, hyperlipidaemia, diabetes mellitus, smoking history, time lapsed after RT, symptoms of(More)
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