Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Bioinformatics (5)
- Biomedical Informatics (5)
- Life Sciences (5)
- Medicine and Health Sciences (5)
- Computer Sciences (4)
-
- Databases and Information Systems (3)
- Computational Engineering (2)
- Computer Engineering (2)
- Digital Communications and Networking (2)
- Engineering (2)
- Arts and Humanities (1)
- Education (1)
- Education Policy (1)
- Educational Administration and Supervision (1)
- Educational Assessment, Evaluation, and Research (1)
- Educational Leadership (1)
- Elementary and Middle and Secondary Education Administration (1)
- Metaphysics (1)
- Philosophy (1)
- Public Administration (1)
- Public Affairs, Public Policy and Public Administration (1)
- Social and Behavioral Sciences (1)
- Statistical Methodology (1)
- Statistics and Probability (1)
- Institution
- Keyword
-
- Internet (3)
- Algorithms (1)
- Animal/parasitology (1)
- Artificial Intelligence (1)
- Bibliometrics (1)
-
- Breast Neoplasms (1)
- Classification (1)
- Computer networks (1)
- Controlled (1)
- Coupling and integrating heterogeneous data sources (1)
- Databases and information systems integration (1)
- Digital libraries (1)
- Electronic Mail (1)
- Enterprise information systems (1)
- Evidence-Based Medicine (1)
- Female (1)
- Human Engineering (1)
- Humans (1)
- Information Services (1)
- Information Storage and Retrieval (1)
- Information visualization (1)
- Intensive Care Units/organization and administration (1)
- Internetworking (Telecommunication) (1)
- MEDLINE (1)
- Medical Errors (1)
- Microcomputers (1)
- Nonlinear theories (1)
- Ontology (1)
- Open archives initiative (1)
- Parasites/classifcation (1)
- Publication
- Publication Type
Articles 1 - 10 of 10
Full-Text Articles in Data Science
Dimensionality Reduction Using Non-Linear Principal Components Analysis, Tara Singh
Dimensionality Reduction Using Non-Linear Principal Components Analysis, Tara Singh
Electrical & Computer Engineering Theses & Dissertations
Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. While certain methods can construct predictive models with high accuracy from high-dimensional data, it is still of interest in many applications to reduce the dimension of the original data prior to any modeling of the data. Patterns in the data can be hard to find in data of high dimensionality, …
Indiana School Districts' Capacity To Use Student-Data Information Systems For Analysis And Decision Making, Rodney A. King
Indiana School Districts' Capacity To Use Student-Data Information Systems For Analysis And Decision Making, Rodney A. King
All-Inclusive List of Electronic Theses and Dissertations
The study investigated if student data is readily accessible and utilized to determine the academic abilities of the student. This study also investigated the current capabilities of the district and school to perform multiple tasks pertinent to data collection, assessment, and to what extent the system could be utilized to predict the principles of instructional change, staff training, communication and feedback. A review of the literature was conducted to design a survey instrument to measure the capacity of school districts student data-information systems. The population of this study consisted of all superintendents, assistant superintendents, business managers, or technology directors in …
Accuracy And Self Correction Of Information Received From An Internet Breast Cancer List: Content Analysis, Adol Esquivel, Funda Meric-Bernstam, Elmer V Bernstam
Accuracy And Self Correction Of Information Received From An Internet Breast Cancer List: Content Analysis, Adol Esquivel, Funda Meric-Bernstam, Elmer V Bernstam
Faculty, Staff and Student Publications
OBJECTIVES: To determine the prevalence of false or misleading statements in messages posted by internet cancer support groups and whether these statements were identified as false or misleading and corrected by other participants in subsequent postings. DESIGN: Analysis of content of postings. SETTING: Internet cancer support group Breast Cancer Mailing List. MAIN OUTCOME MEASURES: Number of false or misleading statements posted from 1 January to 23 April 2005 and whether these were identified and corrected by participants in subsequent postings. RESULTS: 10 of 4600 postings (0.22%) were found to be false or misleading. Of these, seven were identified as false …
Information Visualization Methods And Techniques Using Web Services, Kevin Dupigny
Information Visualization Methods And Techniques Using Web Services, Kevin Dupigny
Computational Modeling & Simulation Engineering Theses & Dissertations
Data, even in small amounts, can be difficult to interpret quickly and efficiently. Data domains are continually expanding and making this data available and usable in collaborative data environment is a challenge that was not addressed by legacy systems. Such a framework would make the existence of a global information sharing system feasible. Visualizing this complex dataset presents a complex task for current static interface solutions. A flexible layered service oriented model is presented in this work to approach this challenge. The visual scope of human perception is largely untapped by today's data visualization applications. Human mental processes are adept …
A Component Based Formal Ontology Model, A Method For Evaluating Such A Model, And The Results Of An Application Of That Method, Charles Tumitsa
A Component Based Formal Ontology Model, A Method For Evaluating Such A Model, And The Results Of An Application Of That Method, Charles Tumitsa
Computational Modeling & Simulation Engineering Theses & Dissertations
For systems to truly communicate effectively, more than just data interchange is necessary. The systems must achieve conceptual interoperability, which implies communicating with understanding.
The LCIM (Levels of Conceptual Interoperability Model) describes a number of levels of interoperability, each of which shows systems with an increased amount of conceptual understanding of the other systems they are communicating with. The lowest levels of this model, technical and syntactic interoperability, are achieved (and there are many existing examples) via data exchange in a number of different ways. Research has shown, however, that to attain higher levels of conceptual understanding, that there must …
A Time-Motion Study Of Registered Nurses’ Workflow In Intensive Care Unit Remote Monitoring, Zhihua Tang, Janine Mazabob, Liza Weavind, Eric Thomas, Todd R. Johnson
A Time-Motion Study Of Registered Nurses’ Workflow In Intensive Care Unit Remote Monitoring, Zhihua Tang, Janine Mazabob, Liza Weavind, Eric Thomas, Todd R. Johnson
Faculty, Staff and Student Publications
Utilizing advanced information technology, Intensive Care Unit (ICU) remote monitoring allows highly trained specialists to oversee a large number of patients at multiple sites on a continuous basis. In the current research, we conducted a time-motion study of registered nurses’ work in an ICU remote monitoring facility. Data were collected on seven nurses through 40 hours of observation. The results showed that nurses’ essential tasks were centered on three themes: monitoring patients, maintaining patients’ health records, and managing technology use. In monitoring patients, nurses spent 52% of the time assimilating information embedded in a clinical information system and 15% on …
Mapping Concepts In Medical Error Taxonomies, Min Zhu, Yong Huang, Yang Gong, Juliana J. Brixey, Jiajie Zhang, James P. Turley
Mapping Concepts In Medical Error Taxonomies, Min Zhu, Yong Huang, Yang Gong, Juliana J. Brixey, Jiajie Zhang, James P. Turley
Faculty, Staff and Student Publications
No abstract provided.
Using Citation Data To Improve Retrieval From Medline, Elmer V Bernstam, Jorge R Herskovic, Yindalon Aphinyanaphongs, Constantin F Aliferis, Madurai G Sriram, William R Hersh
Using Citation Data To Improve Retrieval From Medline, Elmer V Bernstam, Jorge R Herskovic, Yindalon Aphinyanaphongs, Constantin F Aliferis, Madurai G Sriram, William R Hersh
Faculty, Staff and Student Publications
OBJECTIVE: To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. …
Application Of Cognitive Engineering Principles To The Redesign Of A Dichotomous Identification Key For Parasitology, Kimberly A. Smith-Akins, Sharon Mclane, Thomas M. Craig, Todd R. Johnson
Application Of Cognitive Engineering Principles To The Redesign Of A Dichotomous Identification Key For Parasitology, Kimberly A. Smith-Akins, Sharon Mclane, Thomas M. Craig, Todd R. Johnson
Faculty, Staff and Student Publications
Dichotomous identification keys are used throughout biology for identification of plants, insects, and parasites. However, correct use of identification keys can be difficult as they are not usually intended for novice users who may not be familiar with the terminology used or with the morphology of the organism being identified. Therefore, we applied cognitive engineering principles to redesign a parasitology identification key for the Internet. We addressed issues of visual clutter and spatial distance by displaying a single question couplet at a time and by switching to the appropriate next couplet after the user made a choice. Our analysis of …
Synchronization And Multiple Group Server Support For Kepler, K. Maly, M. Zubair, H. Siripuram, S. Zunjarwad, Yannis Manolopoulos (Ed.), Joaquim Filipe (Ed.), Panos Constantopoulos (Ed.), José Cordeiro (Ed.)
Synchronization And Multiple Group Server Support For Kepler, K. Maly, M. Zubair, H. Siripuram, S. Zunjarwad, Yannis Manolopoulos (Ed.), Joaquim Filipe (Ed.), Panos Constantopoulos (Ed.), José Cordeiro (Ed.)
Computer Science Faculty Publications
In the last decade literally thousands of digital libraries have emerged but one of the biggest obstacles for dissemination of information to a user community is that many digital libraries use different, proprietary technologies that inhibit interoperability. Kepler framework addresses interoperability and gives publication control to individual publishers. In Kepler, OAI-PMH is used to support "personal data providers" or "archivelets".". In our vision, individual publishers can be integrated with an institutional repository like Dspace by means of a Kepler Group Digital Library (GDL). The GDL aggregates metadata and full text from archivelets and can act as an OAI-compliant data provider …