A Closed Literature-Based Discovery Technique Finds a Mechanistic Link Between Hypogonadism and Diminished Sleep Quality in Aging Men

Miller, Christopher M.; Rindflesch, Thomas C.; Fiszman, Marcelo; Hristovski, Dimitar; Shin, Dongwook; Rosemblat, Graciela; Zhang, Han

doi:10.5665/sleep.1640

Cited by 22 publications

(33 citation statements)

References 57 publications

(63 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…() analyzed semantic predications displayed in graphs to detect potential paths combining A, B, and C arguments in literature‐based discovery. Devices such as overlapping constituent configurations, including analogous patterns, have also been used to connect seemingly disparate facts in the hopes of discovering new knowledge (Hristovski, Friedman, Rindflesch, & Peterlin, ; Miller et al., ; Swanson, ). As earlier described in this paper, Swanson's original work provides an example of how overlapping constituents in logical assertions lead to SKD.…”

Section: Introductionmentioning

confidence: 99%

Framing serendipitous information‐seeking behavior for facilitating literature‐based discovery: A proposed model

Workman

Fiszman

Rindflesch

et al. 2014

Asso for Info Science & Tech

Self Cite

View full text Add to dashboard Cite

Several researchers have studied serendipitous knowledge discovery in information-seeking behavior. Electronic data in the form of semantic predications have a potential role in literature-based discovery, which can be guided by serendipitous knowledge discovery research findings. We sought to model information-seeking behavior within the context of serendipitous knowledge discovery by leveraging existing research. These efforts were done with an eye for a potential literature-based discovery application that utilizes semantic predications. We performed a literature search, reviewed the results, and applied the findings in developing a model for serendipitous knowledge discovery as an information-seeking behavior. The literature review indicated four important themes in serendipitous knowledge discovery: iteration, change or clarification, a seeker's prior knowledge, and the role of information organization and presentation. The Interaction Flow in Serendipitous Knowledge Discovery (IF-SKD) model includes these themes, and accommodates iterative, evolving search interests. Output can be presented in a manner to enhance short-term memory conceptualization and connections with prior knowledge. Although the IF-SKD model is currently a theoretical structure, its utility is demonstrated through replicating a literature-based discovery event, using a documented search method within the model's steps. The IF-SKD model can potentially serve as the foundation for future literature-based discovery applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Framing serendipitous information‐seeking behavior for facilitating literature‐based discovery: A proposed model

Workman

Fiszman

Rindflesch

et al. 2014

Asso for Info Science & Tech

Self Cite

View full text Add to dashboard Cite

show abstract

“…This decline may be due in part to reduced testosterone levels in aging men. 39 Decreased testosterone may lead to increased fat mass, and there may be poorer sleep quality associated with obesity. 40,41 Weight loss may improve plasma testosterone levels in obese men.…”

Section: Sex Hormones and Sleep Disturbances Testosteronementioning

confidence: 99%

Sleep and the Endocrine System

Morgan

Tsai

2015

Critical Care Clinics

View full text Add to dashboard Cite

“…Maver et al (2013) identified novel treatments for neovascularization in diabetic retinopathy. Miller et al (2012) found mechanisms to link hypogonadism and diminished sleep quality in aging men. Cairelli et al (2013) proposed a possible explanation for the “obesity paradox” whereby obese patients have better outcomes in intensive care.…”

Section: Examples From the Front Lines Of Scientific Investigationmentioning

confidence: 99%

Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery

Smalheiser

2017

Journal of Data and Information Science

View full text Add to dashboard Cite

The late Don R. Swanson was well appreciated during his lifetime as Dean of the Graduate Library School at University of Chicago, as winner of the American Society for Information Science Award of Merit for 2000, and as author of many seminal articles. In this informal essay, I will give my personal perspective on Don’s contributions to science, and outline some current and future directions in literature-based discovery that are rooted in concepts that he developed.

show abstract

A Closed Literature-Based Discovery Technique Finds a Mechanistic Link Between Hypogonadism and Diminished Sleep Quality in Aging Men

Abstract: This approach is publically available and useful not only in this manner but also to generate from the literature alternative explanatory models for observed experimental results.

Cited by 22 publications

References 57 publications

Framing serendipitous information‐seeking behavior for facilitating literature‐based discovery: A proposed model

Framing serendipitous information‐seeking behavior for facilitating literature‐based discovery: A proposed model

Sleep and the Endocrine System

Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery

Contact Info

Product

Resources

About