TOPIC MODELING AND ASSOCIATION RULE MINING TO DISCOVER GEOSPATIAL SEMANTIC INFORMATION FROM UNSTRUCTURED DATA SOURCES [PDF]
As the amount of semi-structured and unstructured information sources expands at an exponential rate, there is a growing demand for semantic information elicitation of the immanent knowledge included in these sources.
Ε. Katsadaki, M. Kokla
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Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion [PDF]
Background: After traumatic events, such as disaster, war trauma, and injuries including burns (which is the focus here), the risk to develop posttraumatic stress disorder (PTSD) is approximately 10% (Breslau & Davis, 1992).
Sarah Depaoli +3 more
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Background There is no study on the frailty trajectory including both middle-aged and older people, and the understanding of the long-term frailty trajectory is insufficient.
Ah Ram Jang, Hae Sagong, Ju Young Yoon
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Effects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis
BackgroundSepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory
Fengshuo Xu +13 more
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Development of Social Skills in Kindergarten: A Latent Class Growth Modeling Approach
Social skills acquired during early childhood are often the foundation for success later in life. Using a nationwide survey dataset in Japan, this study aims to explore the multiple growth trajectories of social skills among children in kindergarten by ...
Yan-Tong Zhu +10 more
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Piecewise latent growth models: beyond modeling linear-linear processes [PDF]
Piecewise latent growth models (LGMs) for linear-linear processes have been well-documented and studied in recent years. However, in the latent growth modeling literature, advancements to other functional forms as well as to multiple changepoints or knots have been nearly non-existent. This manuscript deals with three extensions.
Harring, Jeffrey R +2 more
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The Impact of Prior Information on Bayesian Latent Basis Growth Model Estimation
Latent basis growth modeling is a flexible version of the growth curve modeling, in which it allows the basis coefficients of the model to be freely estimated, and thus the optimal growth trajectories can be determined from the observed data.
Dingjing Shi, Xin Tong
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Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
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According to Dual Systems models (Casey et al., 2008; Luna and Wright, 2016; Steinberg, 2008), a rapidly-developing socioemotional system and gradually-developing cognitive control system characterize adolescent brain development.
Samuel N. Meisel +3 more
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What Applying Growth Mixture Modeling Can Tell Us About Predictors of Number Line Estimation
Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying growth
Jeffrey M. DeVries +2 more
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