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Intelligent Heart Disease Prediction System Using Data Mining Techniques, 978-1-4244-1968- 5/08/$25.00 ©2008
- Department of Computer Science Engineering, Saveetha Engineering College, Chennai. Her
"... The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined ” to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining techniques can help remedy this situation. ..."
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The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined ” to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining techniques can help remedy this situation. This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees, Naïve Bayes and Neural Network. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. IHDPS can answer complex “what if” queries which traditional decision support systems cannot. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease. It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease, to be established. IHDPS is Web-based, user-friendly, scalable, reliable and expandable. It is implemented on the.NET platform.
Best Practices in EMR Implementation: A Systematic Review
"... Electronic medical records (EMRs) are continuing to evolve as a technology for use in medical practice. As experience with EMR implementations increases, new knowledge is gained on how to make their implementation more successful. Recently, several new conceptual frameworks described in the literatu ..."
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Cited by 6 (1 self)
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Electronic medical records (EMRs) are continuing to evolve as a technology for use in medical practice. As experience with EMR implementations increases, new knowledge is gained on how to make their implementation more successful. Recently, several new conceptual frameworks described in the literature provide a richer understanding of what makes an EMR implementation successful. We attempt to integrate the various frameworks into an over-arching framework that is comprehensive, pragmatic and predictive of success.
Web-Based Heart Disease Decision Support System using Data Mining Classification Modeling Techniques
- Proceedings of iiWAS
, 2007
"... Abstract The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to ..."
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Abstract The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to
Assessment of Electronic Medical Record Applications: An Overview for Powerful EMR Estimation
"... ABSTRACT: An EMR system implementation would significantly reduce clinician workload and medical errors while saving the healthcare system major expense. This article examines EMR system efforts, benefits, and barriers, as well as steps needed to move closer to a nationwide EMR system. This study a ..."
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ABSTRACT: An EMR system implementation would significantly reduce clinician workload and medical errors while saving the healthcare system major expense. This article examines EMR system efforts, benefits, and barriers, as well as steps needed to move closer to a nationwide EMR system. This study aimed to address the needs of clinicians from resource-limited settings without reliable internet access who are considering adopting an open-source EMR.
CONCEPTUAL MODEL FOR ELECTRONIC CLINICAL RECORD INFORMATION SYSTEM
"... ABSTRACT This study is drawn from an ongoing, large-scale project of implementing Electronic Clinical Record (ECR). The overall aim in this study is to develop a deeper understanding of the socio-technical aspects of the complexities and challenges emerging from the implementation of the ECR, and i ..."
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ABSTRACT This study is drawn from an ongoing, large-scale project of implementing Electronic Clinical Record (ECR). The overall aim in this study is to develop a deeper understanding of the socio-technical aspects of the complexities and challenges emerging from the implementation of the ECR, and in particular to study how to manage a gradual transition to digital record. We have proposed ECR conceptual model. The end result of our research was a collection of ideas / surveys, and field work that clinical institutions and medical informatics must consider to ensure that patients and clinics do not lose long-term access to ECR and technology continually progress. Results of our study identified the need for more research in this particular area as no definitive solution to long-term access to electronic clinical records was revealed. Additionally, the research findings highlighted the fact that a few medical institutions may actually be concerned about long-term access to electronic records.
Enhanced Quality of Electronic Clinical Record Through Open-Source Tool
"... Electronic records are significant to control healthcare information and save patient lives to increase the value of service in healthcare. This paper is drawn from an ongoing, large-scale research project of implementing an Electronic Clinical Record (ECR). The overall aim in this study is to intro ..."
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Electronic records are significant to control healthcare information and save patient lives to increase the value of service in healthcare. This paper is drawn from an ongoing, large-scale research project of implementing an Electronic Clinical Record (ECR). The overall aim in this study is to introduce a new tool for the ECR deeper understanding of the complexities and challenges emerging from the implementation of the ECR, and in particular, to study how to manage a gradual transition to a digital record. The aim is to enable the physician and patient to get access to the electronic clinical record. It will propose a new open-source tool to improve the clinical systems. The objective of this research is to ensure sufficient in-depth knowledge of the challenges confronting service delivery related to health, especially in the healthcare sector; and a grasp of how the underlying ICT infrastructure and an ECR might be expected to assist in meeting these challenges. Results of our study identified the need for more research in this particular area as no definitive solution to the long-term access to electronic clinical records was revealed. Additionally, the research findings highlighted the fact that a few medical institutions may actually be concerned about long-term access to electronic records.
Distributed Data Mining based on Random Projection with Optimal Communication
"... Abstract — Distributed data mining discovers hidden useful information from data sources distributed among several sites. Privacy of participating sites becomes great concern and sensitive information pertaining to the individual sites needs high protection when data mining occurs among several site ..."
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Abstract — Distributed data mining discovers hidden useful information from data sources distributed among several sites. Privacy of participating sites becomes great concern and sensitive information pertaining to the individual sites needs high protection when data mining occurs among several sites. Different approaches for mining data securely in a distributed environment have been proposed but in the existing approaches, collusion among the participating sites may reveal sensitive information about other participating sites and they suffer from the intended purposes of maintaining privacy of the individual participating sites, reducing computational complexity and minimizing communication overhead. The proposed method finds global frequent itemsets in a distributed environment with minimal communication among sites and ensures higher degree of privacy with randomized site selection. The experimental analysis shows that proposed method generates global frequent itemsets among colluded sites without affecting mining performance and confirms optimal communication among sites. Index Terms — Distributed data mining, privacy, secure multiparty computation, frequent itemsets.
Acceptance Models and Evaluation of the Best Fit for Health Industry Organizations.
"... An elaborate literature review was conducted in the area of technology acceptance identifying seminal authors and their views. Several models were examined and three out of theses were chosen based on the popularity in the health care industry. The findings will be presented in this paper, organized ..."
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An elaborate literature review was conducted in the area of technology acceptance identifying seminal authors and their views. Several models were examined and three out of theses were chosen based on the popularity in the health care industry. The findings will be presented in this paper, organized in two sections. The first part starts with brief definitions of basic terminology, descriptions and categorization of technology acceptance models. The three most popular contemporary technology acceptance models- (a) Technology Acceptance Model (TAM), (b) Diffusion of Innovation Theory (DOI), and (c) the
The Development of Taiwanese Electronic Medical Record Systems Evaluation Instrument Abstract—This study used Item Analysis, Exploratory Factor
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RESEARCH ARTICLE Open Access
"... Attitudes toward inter-hospital electronic patient record exchange: d workload. The concern for misuse of EPRs might lead to low support among physicians. Highly readable EPR documents and managerial incentives for information exchange may improve system use. ..."
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Attitudes toward inter-hospital electronic patient record exchange: d workload. The concern for misuse of EPRs might lead to low support among physicians. Highly readable EPR documents and managerial incentives for information exchange may improve system use.
