Databases and Information Systems Commons^™

Phr: Patient Health Record, Quinn Nelson

Theses/Capstones/Creative Projects

The rapid development of information technology systems has expanded into multiple disciplines and results in systems that are limited by initial design and implementation: the Healthcare Information Technology (HIT) space is no different. The introduction of the Electronic Health Record (EHR) system has changed the way healthcare operates. Initial designs of these systems were focused on serving the needs of insurance companies and healthcare billing departments. Research shows that the design of EHR systems negatively impact provider-patient interactions and the care they receive. This capstone project capitalizes on the collaboration efforts between UNO and UNMC – by joining a research group ...

Querying Large Databases, Nathan Beneke

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

This paper investigates two approaches to improving query times on large relational databases. The first technique capitalizes on the knowledge of a database's structures and properties one typically has. This technique can execute some queries exactly in a constant, bounded amount of time. When this technique cannot be used to exactly execute a query we show how it can still be used to drastically lower the run-time on the query while getting a good approximation of the exact result. We also discuss the complexity of deciding whether a query is evaluable in this way, both theoretically and practically. The ...

Deep Air Learning: Interpolation, Prediction, And Feature Analysis Of Fine-Grained Air Quality, Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Mark Zhang

Research Collection School Of Information Systems

The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of urban air computing. The solutions to these topics can provide extremely useful information to support air pollution control, and consequently generate great societal and technical impacts. Most of the existing work solves the three problems separately by different models. In this paper, we propose a general and effective approach to solve the three problems in one model called the Deep Air Learning (DAL). The main idea of DAL lies in embedding feature selection and semi-supervised learning in different layers of the deep ...

Deaddrop: Message Passing Without Metadata Leakage, Davis Mike Arndt

Computer Science

Even when network data is encrypted, observers can make inferences about content based on collected metadata. DeadDrop is an exploratory API designed to protect the metadata of a conversation from both outside observers and the facilitating server. To do so, DeadDrop servers are passed no recipient address, instead relying upon the recipient to check for messages of their own volition. In addition, the recipient downloads a copy of every encrypted message on the server to prevent even the server from knowing to whom each message is intended. To these purposes, DeadDrop is mostly successful. However, it does not obscure all ...

Semantic Data Storage In Information Systems, Jean Vincent Fonou Dombeu, Raoul Kwuimi

The African Journal of Information Systems

The storage and retrieval of information are important functions of information systems (IS). These IS functions have been realized for decades, due to the maturity of the relational database technology. In recent years, the concept of Semantic Information System (SIS) has emerged as IS in which information is represented with explicit semantic based on its meaning rather than its syntax to enable its automatic and intelligent processing by computers. At present, there is a shortage of discussions on the topic of semantic data storage in IS as compared to the relational database storage counterpart. This study uses a combination of ...

Analysis Of 2016-17 Major League Soccer Season Data Using Poisson Regression With R, Ian D. Campbell

Undergraduate Theses and Capstone Projects

To the outside observer, soccer is chaotic with no given pattern or scheme to follow, a random conglomeration of passes and shots that go on for 90 minutes. Yet, what if there was a pattern to the chaos, or a way to describe the events that occur in the game quantifiably. Sports statistics is a critical part of baseball and a variety of other of today’s sports, but we see very little statistics and data analysis done on soccer. Of this research, there has been looks into the effect of possession time on the outcome of a game, the ...

Cslc Tutoring Portal, Brian Hodges

Theses/Capstones/Creative Projects

A web portal designed for the Computer Science Learning Center to track students requesting help

Understanding The Effects Of Taxi Ride-Sharing: A Case Study Of Singapore, Yazhe Wang, Baihua Zheng, Ee Peng Lim

Research Collection School Of Information Systems

This paper studies the effects of ride-sharing among those calling on taxis in Singapore for similar origin and destination pairs at nearly the same time of day. It proposes a simple yet practical framework for taxi ride-sharing and scheduling, to reduce waiting times and travel times during peak demand periods. The solution method helps taxi users save money while helping taxi drivers serve multiple requests per day, thus increasing their earnings. A comprehensive simulation study is conducted, based on real taxi booking data for the city of Singapore, to evaluate the effect of various factors of the ride-sharing practice, e ...

Creating A Reproducible Metadata Transformation Pipeline Using Technology Best Practices, Cara Key, Mike Waugh

Digital Initiatives Symposium

Over the course of two years, a team of librarians and programmers from LSU Libraries migrated the 186 collections of the Louisiana Digital Library from OCLC's CONTENTdm platform over to the open-source Islandora platform.

Early in the process, the team understood the value of creating a reproducible metadata transformation pipeline, because there were so many unknowns at the beginning of the process along with the certainty that mistakes would be made. This presentation will describe how the team used innovative and collaborative tools, such as Trello, Ansible, Vagrant, VirtualBox, git and GitHub to accomplish the task.

Blockchain: Technical Review, Evan D. Poff

Marriott Student Review

This review of blockchain technology accompanies the article "Strategic Implications of Blockchain."

Buzzwords, Evan D. Poff

Marriott Student Review

This feature will explain the following buzzwords:

• Blockchain
• Cryptocurrency
• Work-Life Integration
• Passive Equities
• Risk-Adjusted Returns

Modular Scheduling System For Westside School District, Tyler Bienhoff

Honors Theses, University of Nebraska-Lincoln

Westside School district offers a modular scheduling system for their high school that is more similar to a college schedule than the typical high school system. Due to the complexity of their master schedule each semester, there are no commercially available products that can assist in creating a schedule. Hence, this thesis discusses a scheduling algorithm and management system that was built specifically for Westside High School with the potential to be expanded for use by other interested schools. The first part of the paper is focused on gathering input from students and faculty for which courses and how many ...

Environmental Restoration Database, Joao Nascimento

Graduate Theses & Non-Theses

Environmental restoration projects face many challenges. Public awareness, funding constraints, unpredictable weather, unknown biological/chemical factors and the uncertainty about how the targeted ecosystem will develop work against the planned and ideal restoration.

One way the projects’ efficiency can be improved is by using software tools for data and quality management systems, in order to share information, make field practice follow rules, keep track of maintenance tasks, measure results and, therefore, increase the rate of success by the amount of resources invested.

Since the conception of every project, all resources involved need to be focused and coherent to the final ...

Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli

Honors Projects in Computer Information Systems

This project explores the use of deep learning to predict age based on pediatric hand X-Rays. Data from the Radiological Society of North America’s pediatric bone age challenge were used to train and evaluate a convolutional neural network. The project used InceptionV3, a CNN developed by Google, that was pre-trained on ImageNet, a popular online image dataset. Our fine-tuned version of InceptionV3 yielded an average error of less than 10 months between predicted and actual age. This project shows the effectiveness of deep learning in analyzing medical images and the potential for even greater improvements in the future. In ...

Foundations Of Health Information Technology (Graduate) Course Materials, Chi Zhang

Computer Science and Information Technology Ancillary Materials

This is a collection of all materials used in Health Information Technology (Graduate Level) by Dr. Chi Zhang at Kennesaw State University, including lecture slides, requirements for a final project, assignments, and assessments, including a test question bank.

Topics covered include:

• Value-Based Care
• Patient Monitoring Systems
• Administrative Systems
• Healthcare Systems in the US, UK, and Canada
• Multi-Payer Systems
• Billing, Coding, and Reimbursement
• Statistics and Research
• Decision Support Systems
• Artificial Intelligence

Lightweight Fine-Grained Search Over Encrypted Data In Fog Computing, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Jian Weng, Hongwei Li, Hui Li

Research Collection School Of Information Systems

Fog computing, as an extension of cloud computing, outsources the encrypted sensitive data to multiple fog nodes on the edge of Internet of Things (IoT) to decrease latency and network congestion. However, the existing ciphertext retrieval schemes rarely focus on the fog computing environment and most of them still impose high computational and storage overhead on resource-limited end users. In this paper, we first present a Lightweight Fine-Grained ciphertexts Search (LFGS) system in fog computing by extending Ciphertext-Policy Attribute-Based Encryption (CP-ABE) and Searchable Encryption (SE) technologies, which can achieve fine-grained access control and keyword search simultaneously. The LFGS can shift ...

Octopus: An Online Topic-Aware Influence Analysis System For Social Networks, Ju Fan, Jiarong Qiu, Yuchen Li, Qingfei Meng, Dongxiang Zhang, Guoliang Li, Kian-Lee Tan, Xiaoyong Du

Research Collection School Of Information Systems

The wide adoption of social networks has broughta new demand on influence analysis. This paper presents OCTOPUSthat offers social network users and analysts valuableinsights through topic-aware social influence analysis services.OCTOPUS has the following novel features. First, OCTOPUSprovides a user-friendly interface that allows users to employsimple and easy-to-use keywords to perform influence analysis.Second, OCTOPUS provides three powerful keyword-basedtopic-aware influence analysis tools: keyword-based influentialuser discovery, personalized influential keywords suggestion,and interactive influential path exploration. These tools cannot only discover influential users, but also provide insights onhow the users influence the network. Third, OCTOPUS enablesonline influence analysis, which provides end-users with ...

Surveying Digital Collections Stewardship In Nebraska [Original Survey Form], Jennifer L. Thoegersen, Blake Graham

University of Nebraska-Lincoln Data Repository

No abstract provided.

Foundations Of Health Information Technology (Undergraduate) Course Materials, Chi Zhang

Computer Science and Information Technology Ancillary Materials

This is a collection of all materials used in Health Information Technology by Dr. Chi Zhang at Kennesaw State University, including lecture slides, assignments, and assessments, including a question bank.

Topics covered include:

• Clinical Financial Records
• Evidence-Based Medicine
• e-Prescribing
• Patient Bedside Systems
• Telemedicine
• Health Information Networks
• Cryptography
• Accreditation
• HIPAA Privacy and Security

The Big Revolution: Future Potential Of Blockchain Technology, Sweksha Poudel, Sushant Bhatta, Jeremy Evert

Student Research

Blockchain is the continuation of humanity’s connection with technology. If we think back to a more ancient era, trade was done in a very informal manner. Often the result of one’s desire to get what they wanted was with violence. Society as a whole then started becoming more formalized and grew in complexity. Institutions like banks and governments established currency, policy, and regulation. Eventually, we had access to these same institutions on the internet and the list grew exponentially. Marketplaces like Amazon and eBay made trade much easier for the common man to use and it kept lowering ...