Data mining mostly use for data analysis and identifying frequent dataset. Now a days cloud computing is used for data storage and many other data operations like data mining, data retrieval, data distribution etc. As data increasing very rapidly on server day by day, many complications are introduced. Most common problems are load balancing on server and time optimization. To overcome these limitations parallel frequent dataset mining is very effective method. Fidoop parallel frequent dataset mining algorithm which is based on mapreduce framework helps to improve load balancing and FiDoop-HD, speed up the mining performance for highdimensional data analysis. Fidoop is very efficient and scalable algorithm for large clusters of data.
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The purpose of this project is to develop an Android application that can provide a useful guide for the pregnant mom to manage their healthcare issues and maintain all necessary routine checkup with diets by themselves. The application will serve as an alternative to encourage self-care among the pregnant women in order to maintain a healthy weight gain during their pregnancy stages. This application is developed to bring convenience to the pregnant women and increase their self -care awareness. Mobile P2P Network has become part of P2P Network that also deals with various issues of cloud services when is accessed by portable devices in wireless environment. The pregnancy Healthcare data is relatively sensitive compared to other common data which need at most supervision. When Cloud services are accessed by the mobile devices additional challenge like security arises and correct time data delivery. Providing the Security and privacy for the pregnancy medical data is an interesting topic to deal with. In this paper the survey is done about the various challenges faced in Mobile based pregnancy Healthcare P2P Network and the existing scenarios along with pregnant women body checkup with medicine alert system. Our proposed system also consist of diet which is designed to provide the increased nutrients during pregnancy that are essential for the health of the mother and the well-being of the baby. Keywords: Data Security, Healthcare Sector, Medical Data Management, P2P Network.. I. INTRODUCTIONMany healthcare professionals, hospitals and insurance agencies maintains the paper-based records, billing of the patients which is been converted later into computer-based billing and records which can be abused, modified or lost for malpractice done by frauds either for money or grudge. Hence the personal information of the patients is revealed, bogus information are entered and misused in traditional pregnancy Healthcare system. Moreover Traditional healthcare system depends on the centralized server which is unreliable, insecure in accessing, storing medical data regardless of time, cost and location. Hence it is more complex and lack privacy and cost involved in integrating medical information is expensive. Given this scenario, Mobile cloud pregnancy Healthcare system is used to reduce healthcare differences and ensures adequate security and privacy. To overcome these issues introduce new mobi-cloud pregnancy healthcare computing concept in Android Smartphone systems. Android operating system is used as a client application which focuses on two specific goals: the availability of e-healthcare applications and medical information anywhere, anytime. Pregnancy Healthcare Information System (PHIS) is an important support tools in the management of health care services. It refers to any system that captures, stores, manages information related to the health of individuals or the activities of organizations that work within the health sector [1]. It has four key functions: (1) data generation (2) compilation (3) ana...
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