Data Mining - Concepts and Techniques.

Visual explanations: Images and quantities, evidence and narrative

The digital world is generating data at a staggering and still increasing rate. While these “big data” have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores several key issues that have arisen around big data. First, we propose a taxonomy of sources of big data to clarify terminology and identify threads common across some subtypes of big data. Next, we consider common public health research and practice uses for big data, including surveillance, hypothesis-generating research, and causal inference, while exploring the role that machine learning may play in each use. We then consider the ethical implications of the big data revolution with particular emphasis on maintaining appropriate care for privacy in a world in which technology is rapidly changing social norms regarding the need for (and even the meaning of ) privacy. Finally, we make suggestions regarding structuring teams and training to succeed in working wi...

Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Objective: Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of –omic and EHR data. These voluminous complex data contain abundant information for precision medicine, and big data analytics can extract such knowledge to improve the quality of healthcare. Methods: In this paper, we present –omic and EHR data characteristics, associated challenges, and data analytics including data preprocessing, mining, and modeling. Results: To demonstrate how big data analytics enables precision medicine, we provide two case studies, including identifying disease biomarkers from multi-omic data and incorporating –omic information into EHR. Conclusion: Big data analytics is able to address –omic and EHR data challenges for paradigm shift toward precision medicine. Significance: Big data analytics makes sense of –omic and EHR data to improve healthcare outcome. It has long lasting societal impact.

/pdf/omic-and-electronic-health-record-big-data-analytics-for-32ex7y6rgd.pdf

Omic and Electronic Health Record Big Data Analytics for Precision Medicine

Implications of big data analytics in developing healthcare frameworks – A review

Public health professionals work with a variety of information sources to carry out their everyday activities. In recent years, interactive computational tools have become deeply embedded in such activities. Unlike the early days of computational tool use, the potential of tools nowadays is not limited to simply providing access to information; rather, they can act as powerful mediators of human-information discourse, enabling rich interaction with public health information. If public health informatics tools are designed and used properly, they can facilitate, enhance, and support the performance of complex cognitive activities that are essential to public health informatics, such as problem solving, forecasting, sense-making, and planning. However, the effective design and evaluation of public health informatics tools requires an understanding of the cognitive and perceptual issues pertaining to how humans work and think with information to perform such activities. This paper draws on research that has examined some of the relevant issues, including interaction design, complex cognition, and visual representations, to offer some human-centered design and evaluation considerations for public health informatics tools.

/pdf/beyond-information-access-support-for-complex-cognitive-4t9u9b53tx.pdf

Beyond information access: Support for complex cognitive activities in public health informatics tools

Previous work has suggested that large repositories of data can revolutionize healthcare activities; however, there remains a disconnection between data collection and its effective usage. The way in which users interact with data strongly impacts their ability to not only complete tasks but also capitalize on the purported benefits of such data. Interactive visualizations can provide a means by which many data-driven tasks can be performed. Recent surveys, however, suggest that many visualizations mostly enable users to perform simple manipulations, thus limiting their ability to complete tasks. Researchers have called for tools that allow for richer discourse with data. Nonetheless, systematic design of human-data interaction for visualization tools is a non-trivial task. It requires taking into consideration a myriad of issues. Creation of visualization tools that incorporate rich human-data discourse would benefit from the use of design frameworks. In this paper, we examine and present a design process that is based on a conceptual human-data interaction framework. We discuss and describe the design of interaction for a visualization tool intended for sensemaking of public health data. We demonstrate the utility of systematic interaction design in two ways. First, we use scenarios to highlight how our design approach supports a rich and meaningful discourse with data. Second, we present results from a study that details how users were able to perform various tasks with health data and learn about global health trends.

Discourse with Visual Health Data: Design of Human-Data Interaction

Vector-borne diseases pose a major public health threat. Combined, these diseases contribute significantly to illness and mortality worldwide and have an adverse impact on development and economic growth of nations. Public health stakeholders seeking to control and prevent these diseases are confronted with a myriad of challenges. Some of these difficulties are related to the nature of the data, the uncertainty of disease dynamics, and volatility of human-environment interactions. Visualization tools are capable of ameliorating some of these challenges. In this paper, the authors demonstrate how interactive visualizations can support stakeholders’ decision-making tasks. In particular, they present a visualization tool they created that can support control efforts related to the recent Zika outbreak in Brazil.

Exploring the Spread of Zika: Using Interactive Visualizations to Control Vector-Borne Diseases

............................................................................................................................... i Co-Authorship Statement................................................................................................... iii Acknowledgments.............................................................................................................. iv Table of

/pdf/the-design-of-interactive-visualizations-and-analytics-for-4i1d7235br.pdf

The Design of Interactive Visualizations and Analytics for Public Health Data

Undergraduate and graduate teaching assistants (TAs) play a pivotal role in supporting student learning. TAs perform various duties, including grading, facilitating labs and tutorials, supporting collaboration projects, and, in some cases, designing course materials. TAs often receive training to enhance their technical skills but, more recently, some TA training programs have begun to recognize and emphasize the need for skills that help TAs foster inclusive learning spaces. Because TAs often have more opportunities to interact directly with students and hold dual identities as students and teachers in the same community, how they address and mitigate non-inclusive behavior may be different than how faculty would. While some TAs are beginning to receive training on concepts like self-efficacy, growth mindset, equity, inclusion, and bias, our community needs a deeper understanding of what skills TAs need to cultivate inclusive spaces and how these skills can be developed and evaluated within the constraints of the teaching term. In this BOF, we will discuss the skills and competencies that faculty and TAs believe are essential for helping TAs foster inclusive learning spaces, how to teach those skills and competencies in TA training programs, and how to evaluate the effectiveness of those programs.

TA Competencies for Inclusive Learning Spaces

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Oluwakemi Ola

Author Tools

Chat about Author