Results 51 to 60 of about 146,074 (263)
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Exploring COVID-19–Related Stressors: Topic Modeling Study
Journal of Medical Internet Research, 2022 BackgroundThe COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems.
Yue Tong Leung, Farzad Khalvati
doaj +1 more source
CoRR, 2016 We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA). The iterative nature of stochastic variational inference presents challenges: multiple iterations are required to obtain accurate posterior distributions, yet each iteration increases the amount of noise that must be added to achieve a reasonable ...
Park, M. +3 more
openaire +3 more sources
Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source
User–Topic Modeling for Online Community Analysis
Applied Sciences, 2020 Analyzing user behavior in online spaces is an important task. This paper is dedicated to analyzing the online community in terms of topics. We present a user–topic model based on the latent Dirichlet allocation (LDA), as an application of topic modeling
Sung-Hwan Kim, Hwan-Gue Cho
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Knowledge Source Rankings for Semi-Supervised Topic Modeling
Information, 2022 Recent work suggests knowledge sources can be added into the topic modeling process to label topics and improve topic discovery. The knowledge sources typically consist of a collection of human-constructed articles, each describing a topic (article-topic)
Justin Wood, Corey Arnold, Wei Wang
doaj +1 more source
Topic Balancing with Additive Regularization of Topic Models [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020 This article proposes a new approach for building topic models on unbalanced collections in topic modelling, based on the existing methods and our experiments with such methods. Real-world data collections contain topics in various proportions, and often documents of the relatively small theme become distributed all over the larger topics instead of ...
Eugenia Veselova +1 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source
Getting Started with Topic Modeling and MALLET
The Programming Historian, 2012 In this lesson you will first learn what topic modeling is and why you might want to employ it in your research. You will then learn how to install and work with the MALLET natural language processing toolkit to do so.
Shawn Graham +2 more
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