Presentation for the 2017 International Conference on Knowledge Management. This presentation describes how Utica Park Clinics is using Phytel with Lean principles to improve patient outcomes.

Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia through a systematic literature review of 19 peer reviewed articles from five databases. The findings indicated that cancer in general, epilepsy, and systemic diseases altogether are areas currently getting big attention. The challenges are attributed to the nature of health data, failure in collaboration for data sharing, ethical and legal issues, interoperability of systems, poor knowledge skills and culture, and poor infrastructure. Development of modern technologies, experimental technologies and methods, cloud computing, Internet of Things, social networks and Ethiopia’s government initiative to promote private technological firms could be an …

Presentation paper for the 2017 International Conference on Knowledge Management. This paper uses a link prediction algorithm based on Node Embedding to map disease nodes in order to discover disease associations more precisely and predict the risk of certain diseases.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes the use of a link prediction algorithm based on node embedding to map disease nodes and reveal relationships among various diseases.

Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a system of rapid automated assessment of student participation and performance quality in collaborative learning.

Poster for the 2017 International Conference on Knowledge Management. This poster proposes a system of rapid automated assessment of student participation and performance quality in collaborative learning.

Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company stocks, Stock2Vec, which can be easily added to any prediction model that applies to companies with associated stock prices. We describe the process of creating this rich vector representation from stock price fluctuations and characterize what the dimensions represent. We then conduct comprehensive experiments to evaluate this embedding in applied machine learning problems in various business contexts. Our experiment results demonstrate that the four features in the Stock2Vec embedding can readily augment existing cross-company models and enhance cross-company predictions.

Developing, implementing, and managing metadata is crucial to successful knowledge management, and academic libraries have traditionally played a central role in these activities. The Arabian Gulf countries are underrepresented in the existing research into library metadata practices. This exploratory study used semi-structured interviews of metadata managers at 8 universities with the goal of developing understanding of the current state of metadata practices, including descriptive cataloging, identity management, and knowledge organization in academic libraries of three Arabian Gulf countries (Kuwait, Oman, and Qatar), as well as potential future developments to facilitate discovery of resources. Findings provide insights into this previously under-researched area and contribute to understanding of knowledge management and risks on a global scale.

Presentation for the 2017 International Conference on Knowledge Management. This presentation presents some results of a content analysis study that explores the state of implementation of the Resource Description and Access (RDA) standard in authority records.

Presented at the 2017 International Conference on Knowledge Management. This poster describes knowledge management values within a supportive software platform.

Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study comparing the use of paired medical hashtags on Twitter and the statistical structure of the components in the hashtag trails.

The pandemic of the COVID-19 (coronavirus) has presented us a new world-wide reality. In a short time, huge changes had been necessary. In the sanitation it has not been different. For handle with essential services, in the majority through public concessions, the rendering of services has been strongly influenced for the chaotic economic situation, the necessity of cares with the health of the employees and for governmental decisions that restrict some activities. Thus, risk management becomes an increasingly urgent need, as the impacts of wrong decisions can lead to huge losses. Starting from the hypothesis that the better risk management within organizations, the better the decision-making process will be, this article aims to present the importance of risk management for mitigation and contingency in the face of the impacts caused by the pandemic of COVID-19.

Presentation paper for the 2017 International Conference on Knowledge Management. This paper examines the level of awareness and understanding of the various issues, challenges, and training needs associated with research data management for Hacettepe University researchers