Browsing by Author/Contributor "Shyu, Chi-Ren"
Now showing items 1-20 of 43
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Accelerating data-driven discover in type 1 diabetes: an informatics-based approach
Tallon, Erin M. (University of Missouri--Columbia, 2022)Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For affected individuals, management of T1D is an unremitting challenge that involves constant blood glucose ... -
ACMES: fast multiple-genome searches for short repeat sequences with concurrent cross-species information retrieval
Reneker, Jeff; Shyu, Chi-Ren; Zeng, Peiyu; Polacco, Joseph C., 1944-; Gassmann, Walter, 1964- (Nucleic Acids Research, 2004)We have developed a web server for the life sciences community to use to search for short repeats of DNA sequence of length between 3 and 10 000 bases within multiple species. This search employs a unique and fast hash ... -
Advance : adversarial collaborative learning for detection and verification of artificially created examples
Jones, Chloe (University of Missouri--Columbia, 2023)Adversarial learning methods have gained significant popularity in generating deceptive yet convincingly authentic data. While these techniques have proven beneficial for advancing artificial intelligence, they also give ... -
Applying visual routines in a cognitive model of visual analysis
Anderson, Blake, 1986- (University of Missouri--Columbia, 2010)Through years of experience, expert image analysts acquire knowledge which allows them to perform an in-depth analysis of images quickly and efficiently. This research aims to build a humanlike framework and cognitive model ... -
The architecture of collaboration: defining networks, developing methods
Schultz, Jack C.; Anderson, Kate; Barile, Mary; Bondeson, William B., 1938-; Gafke, Roger A.; Gireada, Ion; Hart, Jennifer L. (Jennifer Lynn), 1967-; Leonard, Lindsay; Matisziw, Timothy C. (Timothy Clark); Shang, Yi, 1967-; Shyu, Chi-Ren; Steinley, Douglas; Wedman, John; Westgren, Randall E. (University of Missouri--Columbia, 2011)This poster presents information about the Mizzou Advantage project the Architecture of Collaboration, including its goals, methodology, and findings. -
Assessing the quality and distribution of news in local television and newspaper markets using data science methods
Zdun, Matthew (University of Missouri--Columbia, 2023)Increasingly over the last two decades, U.S. newspapers have struggled with declining readership, decreasing revenues and competition from social media companies, among other challenges. More Americans have found themselves ... -
Clinical content tracking system: an efficient request tracking via a graphical user interface
Khairat, Saif (University of Missouri--Columbia, 2007)We propose a new system called Clinical Content Tracking System (CCTS) that is a pre-component of a Computerized Physician Order Entry (CPOE) system. CCTS is a tool that helps physicians build clinical contents, in an ... -
Computational Biology and Biomedical Informatics Expertise to Support Life and Health Sciences Research and Industry
Shyu, Chi-Ren (2010-03)Interdisciplinary collaboration between computational sciences and life/health sciences is a hallmark of the MU Informatics Institute (MUII) and its new Informatics Ph.D. program. The Institute was established to foster ... -
Content extraction, analysis, and retrieval for plant visual traits studies
Hao, Dayang (University of Missouri--Columbia, 2008)In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ... -
Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience
Young, Tiffany Carissa (University of Missouri--Columbia, 2021)Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was ... -
Design and development of geospatial analytical research knowledgebase (GeoARK)
Haithcoat, Timothy (University of Missouri--Columbia, 2022)Enabling the use of spatial context is vital to understanding today's digital health problems. Any given location is associated with many different contexts. It is paramount to build a robust spatial data analytics framework ... -
Design and evaluation of a personal digital assistant-based alerting service for clinicians
Johnson, E. Diane; Pancoast, Paul E.; Mitchell, Joyce A.; Shyu, Chi-Ren (2004)Purpose: This study describes the system architecture and user acceptance of a suite of programs that deliver information about newly updated library resources to clinicians’ personal digital assistants (PDAs). Description: ... -
Distributed association rule mining using an in-memory cluster computer framework
Phinney, Michael (University of Missouri--Columbia, 2015)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Association rule mining is a mature area; however, there is much to be done to take full advantage of the massive distributed computing environments ... -
Distributed frequent hierarchical pattern mining for robust and efficient large-scale association discovery
Phinney, Michael (University of Missouri--Columbia, 2017)Frequent pattern mining is a classic data mining technique, generally applicable to a wide range of application domains, and a mature area of research. The fundamental challenge arises from the combinatorial nature of ... -
Domain-concept mining : an efficient on-demand data mining approach
Mahamaneerat, Wannapa Kay, 1974- (University of Missouri--Columbia, 2008)Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ... -
Efficient organization of genetic data for easier statistical analysis [abstract]
Halstead, Andy; Green, Jason Michael; Shyu, Chi-Ren (University of Missouri--Columbia. Office of Undergraduate Research, 2007)When biological experiments are run, specifically those examining genetics, huge amounts of data are produced. This data is hard to organize and even harder to analyze without organization. When faced with a vast amount ... -
Efficient protein tertiary structure retrievals and classifications using content based comparison algorithms
Chi, Pin-Hao, 1976- (University of Missouri--Columbia, 2007)Functionally important sites of proteins are potentially conserved to specific three-dimensional structural folds. To understand the structure-to-function relationship, life sciences researchers and biologists have a great ... -
Efficient search and comparison algorithms for 3D protein binding site retrieval and structure alignment from large-scale databases
Pang, Bin, 1971- (University of Missouri--Columbia, 2013)Finding similar 3D structures is crucial for discovering potential structural, evolutionary, and functional relationships among proteins. As the number of known protein structures has dramatically increased, traditional ... -
Explainable artificial intelligence for patient stratification and drug repositioning
Al-Taie, Zainab (University of Missouri--Columbia, 2021)Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Developing de novo drugs is expensive ... -
Explainable cohort discoveries driven by exploratory data mining and efficient risk pattern detection
Liu, Danlu (University of Missouri--Columbia, 2022)Finding small homogeneous subgroup cohorts in a large heterogeneous population is a critical process for hypothesis development within a broad range of applications, such as fraud detection, ad targeting, and geospatial ...