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As an instance of online communities, online diabetes discussion forums mirror these characteristics and seem to track the growing impact of diabetes on individuals around the world. In this paper, we first systematically collected texts from online discussion forums about diabetes and then applied supervised machine learning techniques to analyze the online conversations. In order to analyse these...
This study performs an Affinity Analysis ondiagnosis and prescription data in order to discover cooccurrencerelationships among diagnosis and pharmaceuticalactive ingredients prescribed to different patient groups. Theanalysis data collected during consecutive visits of 4,473 patients in a 3 years period, focused on patients suffering byhypertension and/or hypercholesterolemia and appliedassociation...
For pharmaceutical distribution companies it is essential to obtain good estimates of medicine needs, due to the short shelf life of many medicines and the need to control stock levels, so as to avoid excessive inventory costs while guaranteeing customer demand satisfaction, and thus decreasing the possibility of loss of customers due to stock outages. In this paper we explore the use of the time...
A pharmacy typically store pharmaceutical products in warehouses before being sold to the customer. Stacking of products in the warehouse can reduce the efficiency of the warehouse and increase the costs associated with inventory, which raised the problem of how to predict the stock of each product to the right in order to avoid excess/shortages. Therefore, this study aims to develop a decision support...
The proposed methodology involved to finding the chain details of pharmaceutical compound by retrieving the data in numeric format which is taken from functional group. The datamining technique of Enhanced Knuth-Morris-Pratt algorithm used to readily implement to identify the pattern of chemical compounds as in string data based on functional groups connected to one another which is similar from the...
Decision tree method is a powerful technology of decision-making system construction. The article introduces basic concept and algorithm of decision tree method first of all, then conducts data mining in economic statistical data through the introduction of decision tree method, and analyses the excavated information, thus proves that decision tree method can improve the quality of economic statistical...
In United State several universities and research institutes including the national health institute (NIH) recently started programs aiming for drug discovery. With the initiatives, huge volumes of data have been collected and shared with public free of charge. Those initiatives provide an unprecedented opportunity for data miner and machine learner to study knowledge discovery problems associated...
The efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of...
This paper presents a method of applying text mining techniques and data mining tools for pharmaceutical spam detection from Twitter data. A simple method based on a manually selected list of 65 pharmaceutical discriminating words is used for labeling spam training tweets. Preliminary experimental results show that J48 decision tree classifier has better performance over Naïve Bayesian algorithm.
The final product of an analyst's investigation using a visualization is often a report of the discovered knowledge, as well as the methods employed and reasoning behind the discovery. We believe that analysts may have difficulty keeping track of their knowledge discovery process and will require tools to assist in accurately recovering their reasoning. We first report on a study examining analysts'...
Gas chromatography-mass spectrometry (GC-MS) was used to study the compounds from ether extract of Catharsius molossus L., the traditional Chinese medicine, 'dung beetle'. Over twenty kinds of compounds from the ether extract were detected, and fifteen compounds whose match index was more than 800 were identified. All the identified compounds belonged to fatty acids, and the extract was rich in unsaturated...
Abstract-Aim: To study the antimicrobial and antioxidant activity of the extracts from Chinese traditional medicine-Agrimonia Pilosa Ledeb. Method: The minimum inhibitory concentration (MIC) value and minimum bactericidal concentration (MBC) value of acetone extracts and methanol extracts from Agrimonia Pilosa Ledeb against bacteria , yeasts and fungi were tested by solid agar dilution method, for...
In this paper, we make an attempt to apply rough set theory into risk identification of merger and acquisition (abbreviated by M&A) from the angle of the acquirer. Although M&A helps enterprises to optimize productions and appropriately allocates social resources, it can also bring about great risks. To identify possible risks before an M&A being carried out, we first classify all kinds...
Hypertension is the most common cardiovascular disease. The prevalence of hypertension increases with advancing age; for example, about 50% of people between the ages of 60 and 69 years old have hypertension, and the prevalence is further increased beyond age of 70. Many angiotensin converting enzyme (ACE) inhibitors are known to be useful in the treatment of hypertension. The search for ACE inhibitors...
In the presence of deviations from parity conditions, the influence of foreign exchange rate variability beyond the range of financial companies only, and now represents to be an important source of risk for non-financial corporations. This research takes Japan as an example and examines how foreign currency movements affect Japanese manufacturing companies. From firm and industry perspectives, we...
India's increased economic intellectual resources and encouraging government policies attracted large global industries to invest and establish their R&D activities in India. Strategic initiatives by MNC (Multinational Corporation) to penetrate large Indian middle income consumer market through Economies of Scale require localized product updates and compliance to government regulations. MNC's...
Designing appropriate graphs is a problem frequently occurring in several common applications ranging from designing communication and transportation networks to discovering new drugs. More often than not the graphs to be designed need to satisfy multiple, sometimes conflicting, objectives e.g. total length, cost, complexity or other shape and property limitations. In this paper we present our approach...
The objective of this paper is to analyze the performance of a kernel-based method in identifying the potential for collapse (or survival) of a firm operating in three different sectors of the economy-Technology, Pharmaceutical and Banking. The analysis uses the actual stock market data, collected on a weekly basis in a common time-series interval for the active and dead companies in each of the three...
Nanotechnology is one of the rapidly emerging technologies over the past few decades. This paper aims to illustrate a picture of the research and development efforts in nanotechnology in Canada. This study first explains how information technology has been employed in the data collection process for emerging technologies where the clear scope or boundary has not been established, and collects detailed...
It is widely regarded that evaluation is a complex systematic project, which involving many aspects of the process in technological innovation, epically for the pharmaceutical sector. Based on 18 original-designing indicators and the Factor analysis, the paper evaluates the stage differences of continuous innovation abilities in Chinese hinterland provinces' biotechnology industry. And then it originally...
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