Melissa Trayhan
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View article: 4350 From Translational to Transformational: Establishing CLIC’s Vision for a Research Education and Training Community
4350 From Translational to Transformational: Establishing CLIC’s Vision for a Research Education and Training Community Open
OBJECTIVES/GOALS: The new CLIC Education & Career Development Gateway aims to be a translational science workforce ecosystem for CTSAs to share learning and training resources and career opportunities. The Gateway also provides individuali…
View article: ICE volume 40 issue 12 Cover and Front matter
ICE volume 40 issue 12 Cover and Front matter Open
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View article: Predicting hospital-onset <i>Clostridium difficile</i> using patient mobility data: A network approach
Predicting hospital-onset <i>Clostridium difficile</i> using patient mobility data: A network approach Open
Objective: To examine the relationship between unit-wide Clostridium difficile infection (CDI) susceptibility and inpatient mobility and to create contagion centrality as a new predictive measure of CDI. Design: Retrospective cohort study.…
View article: Come from away: Best practices in mini-sabbaticals for the development of young investigators: a White Paper by the SEQUIN (mini-Sabbatical Evaluation and QUality ImprovemeNt) Group
Come from away: Best practices in mini-sabbaticals for the development of young investigators: a White Paper by the SEQUIN (mini-Sabbatical Evaluation and QUality ImprovemeNt) Group Open
Mini-sabbaticals are formal short-term training and educational experiences away from an investigator’s home research unit. These may include rotations with other research units and externships at government research or regulatory agencies…
View article: Inpatient mobility to predict hospital-onset <i>Clostridium difficile</i>: a network approach
Inpatient mobility to predict hospital-onset <i>Clostridium difficile</i>: a network approach Open
With hospital-onset Clostridium difficile Infection (CDI) still a common occurrence in the U.S., this paper examines the relationship between unit-wide CDI susceptibility and inpatient mobility and creates a predictive measure of CDI calle…
View article: Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization
Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization Open
HIV RNA viral load (VL) is an important outcome variable in studies of HIV infected persons. There exists only a handful of methods which classify patients by VL patterns. Most methods place limits on the use of viral load measurements, ar…
View article: Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method
Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method Open
HIV RNA viral load (VL) is an important outcome variable in studies of HIV infected persons. There exists only a handful of methods which classify patients by viral load patterns. Most methods place limits on the use of viral load measurem…
View article: Additional file 6 of Visualizing nationwide variation in medicare Part D prescribing patterns
Additional file 6 of Visualizing nationwide variation in medicare Part D prescribing patterns Open
Figure S6. Unidimensional bar graphs of medication class prescribing frequency by region. Bar graphs of each of the top 10 medication classes prescribed (by percentage of individual prescriber prescriptions) for each of 24 medical specialt…
View article: Visualizing nationwide variation in Medicare Part D prescribing patterns
Visualizing nationwide variation in Medicare Part D prescribing patterns Open
Objective: To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using machine learning and dimensional reduction visualization methods. Methods: Using publicly available Medicare Part D…
View article: Visualizing nationwide variation in Medicare Part D prescribing patterns
Visualizing nationwide variation in Medicare Part D prescribing patterns Open
Objective: To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using machine learning and dimensional reduction visualization methods. Methods: Using publicly available Medicare Part D…
View article: Properties of healthcare teaming networks as a function of network construction algorithms
Properties of healthcare teaming networks as a function of network construction algorithms Open
Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other, and to map how patients traverse the network of providers. Most healthcare service network models have been c…