DISEASE PREVENTION AND CONTROL DISEASE A disease is an abnormal condition that affects the body of an organism. It is often construed as a medical condition associated with specific symptoms and signs. It may be caused by factors originally from an external source‚ such as infectious disease. “Disease" is often used more broadly to refer to any condition that causes pain‚ dysfunction‚ distress‚ soci al problems‚ or death to the person afflicted‚ or similar problems for those in contact
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India has had lots of hits and misses with malaria since independence. Prevention starts at home. Self determination is needed .Protective measures should be adopted; they not only help protect the individual but rather deprive the mosquito of its blood meal .self enforcement is the key‚ motivation and commitment from the user is needed for a fail safe outcome. A child dies from malaria every 30 seconds The Roll Back Malaria Partnership (RBM) (an alliance of WHO‚ UNICEF‚ World Bank‚ UN Development
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ABSTRACT “ONLINE SWINEFLU DETECTION SYSTEM” is a computerized system. It will interact with the user (patient). This facility is very helpful to the users. According to the symptoms has been given by the user to the expert system‚ it will suggest the required tests. After analyzing the test reports and disease‚ it will diagnosis the problem and also displays the help line centers list regarding that particular disease. 2. Requirements Elicitation:
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Lab 2: Blind spot detection Human eye is made up of complex structures which help us to see the things around us. These structure work together to make an image on our retina. Especially our cones of eye are specializing for the color vision while rods are essential for black and white. On the other hand blind spot is an area in the eye where photoreceptors are not present for the vision. In daily life we do not focus on this aspect and ignore it(Walls‚ 1954). Blind spot is present in every single
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themselves at the precipice of returning to old habits. They are tempted to relapse back into a lifestyle that they had spent so much time and energy to leave behind. There are‚ thankfully‚ a few great techniques to prevent these relapses. Relapse Prevention Techniques Preventing relapses can require as much effort as actually seeking treatment in the first place. While there are multiple techniques to help people prevent themselves from falling back into those old habits‚ they all require an understand
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Big Data‚ Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse
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CUSTOMER DATA In the term of customer data‚ technology now day give a big role to evaluate the concepts by the overall to moving ownership of the customer when they are away from the individual departments and different it at the enterprise level. In the customer relationship management concept‚ individual that in the each department has responsible for the customer. The success factor for Customer Relationship Management (CRM) is by deploying technology that provides various levels of data access
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes
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