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Testing Web Applications 测试Web应用程序
Pub Date : 2019-12-25 DOI: 10.14445/23488387/ijcse-v6i12p101
H. Jaleel
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引用次数: 0
Healthcare Analytics for Medical Management 医疗管理的医疗保健分析
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p104
Vinay Kommera
Healthcare organizations need a powerful system that can help them maintain a healthy environment which involves constantly striving to improve patient care by delivering the right kind of treatment. To achieve this Healthcare Analytics is used to manage huge healthcare data systematically, that is collected electronically, the purpose being improve patient healthcare, reduce cost, and give top priority to save the patient's life by taking necessary action at the right time by connecting with the concerned physician who can assure proper treatment. Healthcare Analytics also referred to as big data analytics is not only about managing massive and ever-growing data. It's also about extracting insights from patterns found in the healthcare database. Analytics dives deep to explore meaning in the realtime data; make predictions about future which can pave the way to the path of success. Implementing Healthcare Analytics wisely can change the way healthcare sectors operate, meaning it can only lead to advantageous direction like it can help healthcare providers reduce fraud, waste and abuse which in turn can drive to business growth, improve productivity, improve patient care, cut down medical expenses, transparency in billing, reduce unnecessary medical tests and much more than you can imagine. Most importantly using analytics can improve workflow across healthcare sectors. Healthcare industry to reach great heights needs to enforce Healthcare Analytics to the huge and everflowing database to produce the best consequences.
医疗机构需要一个强大的系统来帮助他们维持一个健康的环境,包括不断努力通过提供正确的治疗来改善病人的护理。为了实现这一目标,医疗保健分析用于系统地管理大量电子收集的医疗保健数据,目的是改善患者的医疗保健,降低成本,并通过与相关医生联系,在适当的时间采取必要的行动,以确保适当的治疗,从而优先考虑挽救患者的生命。医疗保健分析(也称为大数据分析)不仅仅是关于管理大量和不断增长的数据。它还涉及从医疗保健数据库中发现的模式中提取见解。分析深入挖掘实时数据中的意义;对未来做出预测,为成功铺平道路。明智地实施医疗保健分析可以改变医疗保健行业的运营方式,这意味着它只会导致有利的方向,例如它可以帮助医疗保健提供商减少欺诈、浪费和滥用,从而推动业务增长、提高生产力、改善患者护理、降低医疗费用、提高账单透明度、减少不必要的医疗测试以及比您想象的更多。最重要的是,使用分析可以改善医疗保健部门的工作流程。医疗保健行业要达到更高的高度,需要对庞大且不断流动的数据库实施医疗保健分析,以产生最佳结果。
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引用次数: 0
Digitalizing a Monolithic Application 数字化单片应用程序
Pub Date : 2019-10-25 DOI: 10.14445/23488387/IJCSE-V6I10P107
Boddam Linga Reddy
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引用次数: 0
Application of Machine Learning Algorithms in Analysis of Learners’ Behaviour Data 机器学习算法在学习者行为数据分析中的应用
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p103
Jinjin Liang, Y. Nie
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引用次数: 1
Privacy, Security and Trust Issues in Cloud Computing 云计算中的隐私、安全和信任问题
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p106
A. Li
The use of technology has become an intrinsic part of our lives and most of the economic activities now takes place electronically. Emerging at a fast pace, new technologies allow businesses to be more innovative and competitive. Many of these new technologies foster collaboration, not without creating conflicting needs. Companies must ensure that they use technology safely while engaging more stakeholders to be more competitive. As the Cloud computing gaining popularity, it is also carrying some concerns to the implementors. This paper focuses on the topics such as issues in Cloud Computing, risks related to the privacy and how we can ensure the confidentiality of data.
技术的使用已经成为我们生活中不可或缺的一部分,现在大多数经济活动都是通过电子方式进行的。新技术快速涌现,使企业更具创新性和竞争力。许多这些新技术促进了协作,但并非没有产生相互冲突的需求。公司必须确保安全地使用技术,同时吸引更多的利益相关者参与,以提高竞争力。随着云计算的普及,它也给实现者带来了一些问题。本文主要讨论了云计算中的问题、与隐私相关的风险以及如何确保数据的机密性。
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引用次数: 1
Analysis of Thyroid Disease Using K Means and Fuzzy C Means Algorithm 用K均值和模糊C均值算法分析甲状腺疾病
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p101
K. M., Prinitha R, P. P, S. A
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引用次数: 2
A Study of Logistic Regression And Its Optimization Techniques Using Octave 基于八度的逻辑回归及其优化技术研究
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p105
A. Anantharaman
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引用次数: 0
Face Recognition For Home Security 人脸识别用于家庭安全
Pub Date : 2019-10-25 DOI: 10.14445/23488387/ijcse-v6i10p102
Betteena Sheryl Fernando D, Srivarsha A B, Pirathisha K, Rubiya K
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引用次数: 1
Descriptive Data Analysis of Contagious Diseases using Statistical Parameters 传染病统计参数的描述性数据分析
Pub Date : 2019-09-25 DOI: 10.14445/23488387/ijcse-v6i9p101
A. Sudhakar, Rajendra B.Patil, R. Srivaramangai
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引用次数: 2
Implementation of Multipath AODV for Enhanced Performance in Wireless Ad hoc Network 无线自组织网络中提高性能的多路径AODV实现
Pub Date : 2019-09-25 DOI: 10.14445/23488387/ijcse-v6i9p104
Nelesh Sharma, Dr.Nirupama Tiwari
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引用次数: 0
期刊
International Journal of Computer Science and Engineering
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