Databases and Information Systems Commons^™

Khealth Digital Personalized Healthcare Technology For Pediatric Asthma, Utkarshani Jaimini, Hong Y. Yip, Revathy Venkataramanan, Dipesh Kadariya, Vaikunth Sridharan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra, Amit Sheth

Kno.e.sis Publications

Episodic:Traditional Clinician Centric Healthcare

Questions to be answered:

1.Can we reduce the number of asthma attacks through continuous monitoring of the patient's health condition?

2.Can we predict the asthma attack based on the data collected from the patient?

3.Can we predict the asthma vulnerability score for a patient?

4.Can we predict the asthma severity level of a patient?

5.Can we understand the casual relationship between the asthma symptom and the possible factors responsible for it?

Personalized Health Knowledge Graph, Amelia Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Our current health applications do not adequately take into account contextual and personalized knowledge about patients. In order to design “Personalized Coach for Healthcare” applications to manage chronic diseases, there is a need to create a Personalized Healthcare Knowledge Graph (PHKG) that takes into consideration a patient’s health condition (personalized knowledge) and enriches that with contextualized knowledge from environmental sensors and Web of Data (e.g., symptoms and treatments for diseases). To develop PHKG, aggregating knowledge from various heterogeneous sources such as the Internet of Things (IoT) devices, clinical notes, and Electronic Medical Records (EMRs) is necessary. In this paper, we …

Regression Analysis Of Open Source Project Impact: Relationships With Activity And Rewards, Vinod Kumar Ahuja

Information Systems and Quantitative Analysis Faculty Publications

Engagement with open source projects is becoming an increasingly important part of how people work. In this regard, there is a growing interest in how we can better understand the dynamics within an open source project related to project activity, project contributor rewards, and project impact. In this paper, we summarize our work of exploring the relationships between these items.

Eight Observations And 24 Research Questions About Open Source Projects: Illuminating New Realities, Matt Germonprez, Georg J.P. Link, Kevin Lumbard, Sean Goggins

Information Systems and Quantitative Analysis Faculty Publications

The rapid acceleration of corporate engagement with open source projects is drawing out new ways for CSCW researchers to consider the dynamics of these projects. Research must now consider the complex ecosystems within which open source projects are situated, including issues of for-profit motivations, brokering foundations, and corporate collaboration. Localized project considerations cannot reveal broader workings of an open source ecosystem, yet much empirical work is constrained to a local context. In response, we present eight observations from our eight-year engaged field study about the changing nature of open source projects. We ground these observations through 24 research questions that …

Exploring The Impact Of Technology Capabilities On Trust In Virtual Teams, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Purpose – In an environment of constant technological change, the use of virtual teams has become commonplace for many organizations. Virtual teams (VTs) bring together dispersed individuals with varying knowledge and skill sets to accomplish tasks. VTs rely heavily on information technology as the medium for communication and coordination of work. The issue of establishing and maintaining trust in VTs poses challenges for these dispersed workers. Previous research has established that higher trusting teams have better cooperation and experience improved outcomes. We hope to contribute to the literature on trust in VTs by exploring how technology can facilitate high trusting …

Exploring Management Practices Of The Health Care System For Contractors, Gary L. Williams

Walden Dissertations and Doctoral Studies

Researchers have found that military members serving in war experienced changes in physical and mental health. Military members' healthcare is managed by the Department of Defense. The problem was that management practices of the system for providing long-term healthcare for employees of a contracting company working in foreign combat zones is either minimal or nonexistent. The purpose of this case study was to explore ways that contractor managers and government managers can work together to provide healthcare for those contract employees who will be deployed with the U.S. military. The primary research question was to determine what managers of contractors …

Strategies To Manage Cloud Computing Operational Costs, Frankie Nii A Sackey

Walden Dissertations and Doctoral Studies

Information technology (IT) managers worldwide have adopted cloud computing because of its potential to improve reliability, scalability, security, business agility, and cost savings; however, the rapid adoption of cloud computing has created challenges for IT managers, who have reported an estimated 30% wastage of cloud resources. The purpose of this single case study was to explore successful strategies and processes for managing infrastructure operations costs in cloud computing. The sociotechnical systems (STS) approach was the conceptual framework for the study. Semistructured interviews were conducted with 6 IT managers directly involved in cloud cost management. The data were analyzed using a …

Complexity Theory Of Leadership And Management Information, Mark Aloysius Simpson

Walden Dissertations and Doctoral Studies

Implementing effective leadership strategies in management of information systems (MIS) can positively influence overall organizational performance. This study was an exploration of the general problem of failure to lead effectively in the current knowledge-based economy and the resulting deleterious effects on organizational performance and threats to continuing organizational viability. The specific problem was the lack of understanding regarding the interaction of leadership processes with MIS functions and the impact on organizational success. Managers' and employees' lived experiences of leadership in small- to medium-sized enterprises were explored, as well as how those experiences influenced the organization's adaptive responses regarding technology and …

Small Business Owners' Search For Profitability Under The Affordable Care Act, Alton Simpson

Walden Dissertations and Doctoral Studies

Health care costs for small businesses have been rising annually for the past few decades. Congress voted to pass the Affordable Care Act (ACA) to lower the cost of health care in 2010. The purpose of this phenomenological study was to explore small business owners' experiences in implementing ACA requirements and how the ACA affects small businesses as their owners work to make these organizations profitable. Complex adaptive systems theory formed the conceptual framework for this study Data were gathered during face-to-face and telephone interviews with a sample of 20 small business owners in the Philadelphia region. The research questions …

Blockchain: A New Type Of Database, Brent Marshall

A with Honors Projects

The blockchain is a new technology that seems to have people all over the world talking about it. But what is it? And what can it do? This paper will explore both the current uses of block chain technology and its potential uses. We will begin with definitions, followed by the history and uses of blockchains.

Exploratory Reconstructability Analysis Of Accident Tbi Data, Martin Zwick, Nancy Ann Carney, Rosemary Nettleton

Complex Systems Faculty Publications and Presentations

This paper describes the use of reconstructability analysis to perform a secondary study of traumatic brain injury data from automobile accidents. Neutral searches were done and their results displayed with a hypergraph. Directed searches, using both variable-based and state-based models, were applied to predict performance on two cognitive tests and one neurological test. Very simple state-based models gave large uncertainty reductions for all three DVs and sizeable improvements in percent correct for the two cognitive test DVs which were equally sampled. Conditional probability distributions for these models are easily visualized with simple decision trees. Confounding variables and counter-intuitive findings are …

Classification Of Eeg Signals Of User States In Gaming Using Machine Learning, Chandana Mallapragada

Masters Theses

"In this research, brain activity of user states was analyzed using machine learning algorithms. When a user interacts with a computer-based system including playing computer games like Tetris, he or she may experience user states such as boredom, flow, and anxiety. The purpose of this research is to apply machine learning models to Electroencephalogram (EEG) signals of three user states -- boredom, flow and anxiety -- to identify and classify the EEG correlates for these user states. We focus on three research questions: (i) How well do machine learning models like support vector machine, random forests, multinomial logistic regression, and …

Black Business Owners Overcoming Barriers In Texas, Henry Williams

Walden Dissertations and Doctoral Studies

Black entrepreneurs in the state of Texas reported that they did not achieve the same level of success as nonminority enterprises. Many Black entrepreneurs have obtained education from top tier institutions and have the managerial experiences, skills, and working knowledge that facilitate business success, but they are not able to sustain business growth. The purpose of this phenomenological study was to explore the lived experiences of Black Texan entrepreneurs. This research was established using the conceptual framework of human capital. The overarching research question concerned the lived experiences of Black Texas entrepreneurs who were not as successful in business as …

Strategies Certified Project Management Professionals Use To Prevent Counterproductive Behavior, Lisa Annika Christin Hansson-Vazquez

Walden Dissertations and Doctoral Studies

Project managers who fail to apply strategies to prevent counterproductive work behavior in information technology projects could negatively affect users, budget costs, timelines, or projects. The purpose of this multiple case study was to explore strategies that project managers used to prevent counterproductive work behavior that put project success at risk. Social learning theory was the conceptual framework for this study. Data were collected through document review of published Project Management Institute (PMI) material as well as semistructured interviews with 10 project managers who were members of a PMI chapter in the southeastern United States, and who held a project …

Effective Strategies For Managing Continuous Consultant Turnover In It Project Teams, Nicholas K. Jury

Walden Dissertations and Doctoral Studies

Information Technology project managers have found that collective turnover of consultants lowers code quality, increases knowledge loss and negatively impacts team performance. Within the last decade, companies have begun to see that offshore consultants have a turnover rate greater than 26%, more than double the rates for the rest of the IT consulting industry. Collective turnover also puts additional pressure on the project team, causing work exhaustion and thus additional turnover. The purpose of this single case study was to explore strategies that 6 successful project managers utilized to limit and reduce the impact of collective turnover of their hybrid …

Visualizing The Opioid Overdose With A Dynamic Heat Map To Identify And Predict Vulnerable Communities, Justin R. Chang, Garrett K. Wong, Chase Greco, Yadunandan Pillai, Mohammad A. Shahrezaei, Melissa H. Burton, Rob Lawrence, Alan Dow

Graduate Research Posters

Background: Opioid and heroin overdose epidemic is a public health emergency in the state of Virginia. In order to prevent overdose deaths, we need the target expertise in substance use disorders to areas with high rates of overdose. In particular, an area with an acute spike in overdoses might represent an urgent need for intervention.

Aims: The CDC urges the use of near real-time surveillance to effectively identify overdose incidence, and to coordinate community responses in the states affected by the epidemic, including Virginia. However, current opioid overdose datasets for Virginia lack adequate consistency, granularity, and temporality for …

Software Intrusion Detection Evaluation System: A Cost-Based Evaluation Of Intrusion Detection Capability, Agbotiname L. Imoize, Taiwo Oyedare, Michael E. Otuokere, Sachin Shetty

VMASC Publications

In this paper, we consider a cost-based extension of intrusion detection capability (CID). An objective metric motivated by information theory is presented and based on this formulation; a package for computing the intrusion detection capability of intrusion detection system (IDS), given certain input parameters is developed using Java. In order to determine the expected cost at each IDS operating point, the decision tree method of analysis is employed, and plots of expected cost and intrusion detection capability against false positive rate were generated. The point of intersection between the maximum intrusion detection capability and the expected cost is selected as …

Neutrosophic Operational Research - Vol. 3., Florentin Smarandache, Mohamed Abdel Basset, Victor Chang

Branch Mathematics and Statistics Faculty and Staff Publications

Foreword John R. Edwards This book is an excellent exposition of the use of Data Envelopment Analysis (DEA) to generate data analytic insights to make evidence-based decisions, to improve productivity, and to manage cost-risk and benefitopportunity in public and private sectors. The design and the content of the book make it an up-to-date and timely reference for professionals, academics, students, and employees, in particular those involved in strategic and operational decisionmaking processes to evaluate and prioritize alternatives to boost productivity growth, to optimize the efficiency of resource utilization, and to maximize the effectiveness of outputs and impacts to stakeholders. It …

Estimating The Optimal Cutoff Point For Logistic Regression, Zheng Zhang

Open Access Theses & Dissertations

Binary classification is one of the main themes of supervised learning. This research is concerned about determining the optimal cutoff point for the continuous-scaled outcomes (e.g., predicted probabilities) resulting from a classifier such as logistic regression. We make note of the fact that the cutoff point obtained from various methods is a statistic, which can be unstable with substantial variation. Nevertheless, due partly to complexity involved in estimating the cutpoint, there has been no formal study on the variance or standard error of the estimated cutoff point.

In this Thesis, a bootstrap aggregation method is put forward to estimate the …

Strategies For Achieving Profitability In The Music Streaming Service Business Model, James Bennett

Walden Dissertations and Doctoral Studies

Although the rapid growth of the music streaming industry has led to record levels of global music consumption, many leaders in the music streaming industry have not developed a financially sustainable business model for music streaming. This descriptive single case study focused on strategies that some global music streaming service leaders used to generate sustainable profits through their business models. Christensen's theory of disruptive innovation served as the conceptual framework for this study. Semistructured interviews with the chief executive officer and 4 senior managers of a leading music streaming service in southeastern Asia were analyzed to identify themes. Secondary data …