National database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open data Japan publishes summary tables of fundamental data from NDB. In this report, we performed a pilot study on the mental ...
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ISBN:
(纸本)9781665495523
National database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open data Japan publishes summary tables of fundamental data from NDB. In this report, we performed a pilot study on the mental health and dental care of patients with noncommunicable diseases (NCDs) using NDB Open data Japan. We performed data analysis using the Sex- and Age-Standardized Regional Difference Index (SA-RDI) to preliminarily show the relationship between diabetes mellitus and periodontal disease. Consequently, we could visualize the relationship between them at the prefectural (community) level.
data security is an important issue in healthcare system in Bangladesh, especially in a rural and remote area where proper medical care doesn39;t reach in time, and the infrastructures of the medical system in those a...
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Advancements in web technologies have fostered an environment where information is easily distributed in a cost-effective manner, with organizations of varying sizes enjoying the same benefits in the online world. The...
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In Japanese society, the connection of local communities has played a very important role. However, regional relationships have been diluted recent years because aging and declining population. In this paper, we intro...
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In aircraft test, the sample size of flight test data is small, and the test data returned by telemetry also has the problem of attribute association. A weight design method of small sample decision under attribute as...
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Speech-language pathologists perform assessments and therapy for various speech disorders including language drills, articulation-therapy, breathing exercises, etc. help early diagnosis and treatments. Our proposed mo...
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Although collapsible panel widgets have been widely used in industry for many years in various contexts, there have been no formal evaluations conducted to compare user performance and satisfaction with these interfac...
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In this paper, we explore natural language processing (NLP) methods to perform sentiment analysis or opinion mining. In addition, we show an application on English and Arabic sentiment analysis by implementing sentime...
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In recent years, a variety of paints have been developed in response to the diversification of color design. Due to the powder manufacturing process, different sizes of powders may randomly attach to each powder. Sinc...
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In recent era, major companies from e-commerce sector should focus on customer identification through churns in accordance to their business strategy as the market saturation increases. Several e-commerce professional...
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ISBN:
(纸本)9781665495523
In recent era, major companies from e-commerce sector should focus on customer identification through churns in accordance to their business strategy as the market saturation increases. Several e-commerce professionals and industrialists highlighted /enlisted/specified that identifying churn customers whose subscription period is about to end or those likely to migrate services from pre-existing company to another is known/represented as customer attrition. In order to retain loyal customers, earlier prediction of client behavior plays a vital part in real-time marketing. In this survey work, the difficulties in the prediction of customer attrition in the motor insurance sector are represented along with various data mining techniques comprising deep learning and machine learning advancements. It also emphasizes on the churns within the customer management cycle with surroundings. An overview of the survey performed orderly provides construction of churn prediction model, various methods of prediction utilized and their application in the business sector.
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