Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Aryya Gangopadhyay

Copyright: © 2012 |Pages: 353

ISBN13: 9781466602823|ISBN10: 1466602821|EISBN13: 9781466602830

DOI: 10.4018/978-1-4666-0282-3

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Gangopadhyay, Aryya, editor. Innovations in Data Methodologies and Computational Algorithms for Medical Applications. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0282-3

APA

Gangopadhyay, A. (Ed.). (2012). Innovations in Data Methodologies and Computational Algorithms for Medical Applications. IGI Global. https://doi.org/10.4018/978-1-4666-0282-3

Chicago

Gangopadhyay, Aryya, ed. Innovations in Data Methodologies and Computational Algorithms for Medical Applications. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0282-3

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Medicine has, until recently, been slow to adapt to information technologies and systems for many reasons, but the future lies therein.

Innovations in Data Methodologies and Computational Algorithms for Medical Applications offers the most cutting-edge research in the field, offering insights into case studies and methodologies from around the world. The text details the latest developments and will serve as a vital resource to practitioners and academics alike in the burgeoning field of medical applications of technologies. As security and privacy improve, Electronic Health Records and informatics in the medical field are becoming ubiquitous, and staying abreast of the latest information can be difficult. This volume serves as a reference handbook and theoretical framework for the future of the field.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Chapters

Chapter 1

A Formal Approach to Evaluating Medical Ontology Systems using Naturalness (pages 1-18)

Yoo Jung An, Kuo-Chuan Huang, Soon Ae Chun, James Geller

Ontologies, terminologies and vocabularies are popular repositories for collecting the terms used in a domain. It may be expected that in the future more such ontologies will be created for domain experts. However, there is...

Chapter 2

A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining (pages 19-32)

Shibnath Mukherjee, Aryya Gangopadhyay, Zhiyuan Chen

While data mining has been widely acclaimed as a technology that can bring potential benefits to organizations, such efforts may be negatively impacted by the possibility of discovering sensitive patterns, particularly in patient...

Chapter 3

Classification Systems for Bacterial Protein-Protein Interaction Document Retrieval (pages 33-43)

Hongfang Liu, Manabu Torii, Guixian Xu, Johannes Goll

Protein-protein interaction (PPI) networks are essential to understand the fundamental processes governing cell biology. Recently, studying PPI networks becomes possible due to advances in experimental high-throughput genomics and...

Chapter 4

Modeling a Classification Scheme of Epileptic Seizures Using Ontology Web Language (pages 44-59)

Bhaswati Ghosh, Partha S. Ghosh, Iftikhar U. Sikder

Ontology-based disease classification offers a way to rigorously assign disease types and to reuse diagnostic knowledge. However, ontology itself is not sufficient for fully representing the complex knowledge needed in classification...

Chapter 5

Prevalence of Metabolic Syndrome in Subjects with Osteoarthritis Stratified by Age and Sex: A Cross Sectional Analysis in NHANES III (pages 60-72)

Ashish Joshi

The aim of the study was to determine association between osteoarthritis and metabolic syndrome stratified by age and gender categories. A final sample of 16,149 US residents aged 17 years or older was analyzed using the database...

Chapter 6

Exploring Type-and-Identity-Based Proxy Re-Encryption Scheme to Securely Manage Personal Health Records (pages 73-93)

Luan Ibraimi, Qiang Tang, Pieter Hartel, Willem Jonker

Commercial Web-based Personal-Health Record (PHR) systems can help patients to share their personal health records (PHRs) anytime from anywhere. PHRs are very sensitive data and an inappropriate disclosure may cause serious problems...

Chapter 7

Privacy Preserving Integration of Health Care Data (pages 94-107)

Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Tom White

For health care related research studies the medical records of patients may need to be retrieved from multiple sites with different regulations on the disclosure of health information. Given the sensitive nature of health care...

Chapter 8

Regulatory Compliance and the Correlation to Privacy Protection in Healthcare (pages 108-124)

Tyrone Grandison, Rafae Bhatti

Recent government-led efforts and industry-sponsored privacy initiatives in the healthcare sector have received heightened publicity. The current set of privacy legislation mandates that all parties involved in the delivery of care...

Chapter 9

Computer Aided Detection and Recognition of Lesions in Ultrasound Breast Images (pages 125-152)

Moi Hoon Yap, Eran Edirisinghe, Helmut Bez

The authors extend their previous work on Ultrasound (US) image lesion detection and segmentation, to classification, proposing a complete end-to-end solution for automatic Ultrasound Computer Aided Detection (US CAD). Carried out is...

Chapter 10

An Effective Streams Clustering Method for Biomedical Signals (pages 153-183)

Pimwadee Chaovalit

In the healthcare industry, the ability to monitor patients via biomedical signals assists healthcare professionals in detecting early signs of conditions such as blocked arteries and abnormal heart rhythms. Using data clustering, it...

Chapter 11

Privacy Preserving Clustering for Distributed Homogeneous Gene Expression Data Sets (pages 184-207)

Xin Li

In this paper, the authors present a new approach to perform principal component analysis (PCA)-based gene clustering on genomic data distributed in multiple sites (horizontal partitions) with privacy protection. This approach allows...

Chapter 12

Upper GI Bleed, Etiology, Role of Endoscopy in Rural Population of Punjab (pages 208-221)

Ravinder Singh Malhotra, K. S. Ded, Arun Gupta, Darpan Bansal, Harneet Singh

Haematemesis and malena are the two most important symptoms of upper gastrointestinal bleeding . The most common cause of upper gastrointestinal bleeding is due to a peptic ulcer. In this paper, the authors research the cause of...

Chapter 13

Evaluation of Clustering Patterns using Singular Value Decomposition (SVD): A Case Study of Metabolic Syndrome (pages 222-232)

Josephine M. Namayanja

Computational techniques, such as Simple K, have been used for exploratory analysis in applications ranging from data mining research, machine learning, and computational biology. The medical domain has benefitted from these...

Chapter 14

Optimization Model and Algorithm Help to Screen and Treat Sexually Transmitted Diseases (pages 233-250)

Kun Zhao, Guantao Chen, Thomas Gift, Guoyu Tao

Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (GC) are two common sexually transmitted diseases among women in the United States. Publicly funded programs usually do not have enough money to screen and treat all patients....

Chapter 15

Medical Outcome Prediction for Intensive Care Unit Patients (pages 251-262)

Simone A. Ludwig, Stefanie Roos, Monique Frize, Nicole Yu

The rate of people dying from medical errors in hospitals each year is very high. Errors that frequently occur during the course of providing health care are adverse drug events and improper transfusions, surgical injuries and...

Chapter 16

Relevance of Mesh Dimension Optimization, Geometry Simplification and Discretization Accuracy in the Study of Mechanical Behaviour of Bare Metal Stents (pages 263-277)

Mariacristina Gagliardi

In this paper, a set of analyses on the deployment of coronary stents by using a nonlinear finite element method is proposed. The author proposes a convergence test able to select the appropriate mesh dimension and a methodology to...

Chapter 17

Home Blood Pressure Measurement: A Review (pages 278-289)

Gurmanik Kaur, Ajat Shatru Arora, Vijender Kumar Jain

Hypertension, the leading global risk factor for early mortality, cannot be detected or treated without accurate and practical methods of blood pressure (BP) measurement. Although home BP measurement has considerable popularity among...

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Compilation of References

About the Contributors

Index

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