An Intelligent Data Mining System to Detect Health Care Fraud

The chapter begins with an overview of the types of healthcare fraud. Next, there is a brief discussion of issues with the current fraud detection approaches. The chapter then develops information technology based approaches and illustrates how these technologies can improve current practice. Finally, there is a summary of the major findings and the implications for healthcare practice

Cancer Surveillance using Data Warehousing, Data Mining, and Decision Support Systems

This article discusses how data warehousing, data mining, and decision support systems can reduce the national cancer burden or the oral complications of cancer therapies, especially as related to oral and pharyngeal cancers. An information system is presented that will deliver the necessary information technology to clinical, administrative, and policy researchers and analysts in an effective and efficient manner. The system will deliver the technology and knowledge that users need to readily: (1) organize relevant claims data, (2) detect cancer patterns in general and special populations, (3) formulate models that explain the patterns, and (4) evaluate the efficacy of specified treatments and interventions with the formulations. Such a system can be developed through a proven adaptive design strategy, and the implemented system can be tested on State of Maryland Medicaid data (which includes women, minorities, and children)

A Decision Technology System To Advance the Diagnosis and Treatment of Breast Cancer

Geographical variations in cancer rates have been observed for decades. Described spatial patterns and trends have provided clues for generating hypotheses about the etiology of cancer. For breast cancer, investigators have demonstrated that some variation can be explained by differences in the population distribution of known breast cancer risk factors such as menstrual and reproductive variables (Laden, Spiegelman, and Neas, 1997; Robbins, Bescianini, and Kelsey, 1997; Sturgeon, Schairer, and Gail, 1995). However, regional patterns also may reflect the effects of Workshop on Hormones, Hormone Metabolism, Environment, and Breast Cancer (1995): (a) environmental hazards (such as air and water pollution), (b) demographics and the lifestyle of a mobile population, (c) subgroup susceptibility, (d) changes and advances in medical practice and healthcare management, and (e) other factors. To accurately measure breast cancer risk in individuals and population groups, it is necessary to singly and jointly assess the association between such risk and the hypothesized factors. Various statistical models will be needed to determine the potential relationships between breast cancer development and estimated exposures to environmental contamination. To apply the models, data must be assembled from a variety of sources, converted into the statistical models’ parameters, and delivered effectively to researchers and policy makers. A Web-enabled decision technology system can be developed to provide the needed functionality. This chapter will present a conceptual architecture for such a decision technology system. First, there will be a brief overview of a typical geographical analysis. Next, the chapter will present the conceptual Web-based decision technology system and illustrate how the system can assist users in diagnosing and treating breast cancer. The chapter will conclude with an examination of the potential benefits from system use and the implications for breast cancer research and practice

Analisis Strategi Marketing Mix Modern Ritel Terhadap Kepuasan Minat Masyarakat Dan Loyalitas Minat Masyarakat

Competition is not only enough business retaile by offering better quality products, competitive prices, creating a sense of satisfaction and provide better services to the public or the consumer, but the main addition to creating customer satisfaction, also try to build loyalty shopping public interest. The purpose of this study to determine the impact of modern retail marketing mix towards satisfaction of interest in public expenditure and its implications on the loyalty of the public interest in shopping. Using a purposive sampling of 150 respondents was obtained. The data analysis is a technique of multiple regression analysis and simple regression. The results were obtained through the direct influence of modern retail marketing mix becara simultaneously positive and significant effect on the public interest in shopping satisfaction, but factor prices partially not have a significant effect on the satisfaction of the public interest in shopping. Satisfaction of spending the public interest to have a positive influence and loyalty are very significant to the variable interest of public expenditure. This means that the satisfaction felt by the community for shopping will increase loyalty shopping

Analyzing Speech Act Found in the Efl Class

In teaching learning, lecturers teach the students with a good sentence. But there is one of students may not understand what she said although in grammatically is correct, so it will happen miscommunication between lecturer and student. This research concerns in the classroom interaction in Class I,J as the main data of this research because there are many speech acts especially categories of speech act employed by lecturer and students in the interaction related to the context and situation. This research belongs to descriptive qualitative research since it employs the analysis of descriptive and qualitative methods. The type of this research is descriptive qualitative. The participants of this classroom interaction are Mrs. Lutfhi as the lecturer and students from class I,J whereas the 6 men and 27 women. The topic is talking about social problem. In this case the writer analyzes the speech act found in the classroom interaction. The listener of this interaction ought to understand the meaning of the speaker. Keywords: speech act, meanin

BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer

For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed. Applications of these models, however, require that the data be assembled from a variety of sources, converted into the statistical models’ parameters and delivered effectively to researchers and policy makers. A web-enabled and GIS-based system can be developed to provide the needed functionality. This article overviews the conceptual web-enabled and GIS-based system (BCAS), illustrates the system’s use in diagnosing and treating breast cancer and examines the potential benefits and implications for breast cancer research and practice

Can the US Minimum Data Set Be Used for Predicting Admissions to Acute Care Facilities?

This paper is intended to give an overview of Knowledge Discovery in Large Datasets (KDD) and data mining applications in healthcare particularly as related to the Minimum Data Set, a resident assessment tool which is used in US long-term care facilities. The US Health Care Finance Administration, which mandates the use of this tool, has accumulated massive warehouses of MDS data. The pressure in healthcare to increase efficiency and effectiveness while improving patient outcomes requires that we find new ways to harness these vast resources. The intent of this preliminary study design paper is to discuss the development of an approach which utilizes the MDS, in conjunction with KDD and classification algorithms, in an attempt to predict admission from a long-term care facility to an acute care facility. The use of acute care services by long term care residents is a negative outcome, potentially avoidable, and expensive. The value of the MDS warehouse can be realized by the use of the stored data in ways that can improve patient outcomes and avoid the use of expensive acute care services. This study, when completed, will test whether the MDS warehouse can be used to describe patient outcomes and possibly be of predictive value

Komparasi Pengaturan Hak Cipta Di Indonesia Dan Amerika Serikat

Starting from the concerns that arose over many copyright infringements in Indonesia, than this comparative study of copyright regulations in Indonesia and United States of America was conducted. This comparative study was conducted by comparing the Undang-Undang No. 19 Tahun 2002 tentang Hak Cipta with the 17 U.S.C. § 101-1101 (US Copyright Act), in terms of the scope of copyright, the duration of copyright, and the copyright registration, in order to optimalize the copyright regulations in Indonesia

Can the US Minimum Data Set Be Used for Predicting Admissions to Acute Care Facilities?

This paper is intended to give an overview of Knowledge Discovery in Large Datasets (KDD) and data mining applications in healthcare particularly as related to the Minimum Data Set, a resident assessment tool which is used in US long-term care facilities. The US Health Care Finance Administration, which mandates the use of this tool, has accumulated massive warehouses of MDS data. The pressure in healthcare to increase efficiency and effectiveness while improving patient outcomes requires that we find new ways to harness these vast resources. The intent of this preliminary study design paper is to discuss the development of an approach which utilizes the MDS, in conjunction with KDD and classification algorithms, in an attempt to predict admission from a long-term care facility to an acute care facility. The use of acute care services by long term care residents is a negative outcome, potentially avoidable, and expensive. The value of the MDS warehouse can be realized by the use of the stored data in ways that can improve patient outcomes and avoid the use of expensive acute care services. This study, when completed, will test whether the MDS warehouse can be used to describe patient outcomes and possibly be of predictive value

Upaya Peningkatan Kompetensi dan Kualitas Pendidikan Anak Usia Dini Berbasis Alat Peraga Edukatif Motorik di Pos Paud Kelurahan Merjosari Kota Malang

Peran Pos PAUD bagi masyarakat sangat signifikan karena dikelola dengan prinsip“dari, oleh dan untuk masyarakat”, yang dibentuk dan dikelola dengan azaz gotongroyong, kerelaan, dan kebersamaan sehingga berpotensi untuk berkembang menjadiPAUD. Akan tetapi Pos Paud yang ada di RW wilayah Kelurahan Merjosari Malangluput dari perhatian stakeholder yang terkait karena prakteknya masih menemuibanyak kendala. Salah satu penyebabnya adalah keterbatasan sarana dan prasarana.Oleh karena itu, diperlukan adanya kerjasama antar pihak, agar Pos PAUD tersebutbisa kualitas dan dapat bersaing dengan Pos PAUD lainnya, meskipun sebagaiorganisasi atau lembaga pendidikan yang non formal. Kegiatan IbM ini dilakukan olehTim Pengabdi dengan tujuan untuk memberikan solusi alternatif terhadap beberapapermasalahan yang dihadapi oleh dua Pos PAUD di wilayah Kelurahan MerjosariMalang. Hasil yang dicapai dalam pelaksanaan Iptek Bagi Masyarakat (IbM) adalahberupa alat peraga edukatif/APE motorik kasar (outdoor), pagar besi, meja dan kursiwarna warni standard untuk siswa usia dini kususnya Pos Paud, loker warna warni,lemari arsip untuk menyimpan dan mengamankan dokumen dokumen, kursi guru, mejapentas kreasi siswa, pelatihan manajemen pengelolaan dan pengembangan organisasidengan konsep POAC. Adapun kegiatan ini berkelanjutan pada capaian alat peragaedukatif/APE motorik halus ( indoor), pelatihan dan pendampingan tatakelolaadministrasi keuangan oraganisasi , serta pembuatan buku panduan ISBN tentangManajemen Pengelolaan dan pengembangan Organisasi berbasis Planning,Organizing, Actuating and Controlling (POAC)