Results 81 to 90 of about 189,668 (265)
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
Most of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space.
Takuma Torii +2 more
doaj +1 more source
Conditional co-occurrence probability acts like frequency in predicting fixation durations
The predictability of an upcoming word has been found to be a useful predictor in eye movement research, but is expensive to collect and subjective in nature.
James K. Y. Ong, Reinhold Kliegl
doaj +1 more source
Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords. [PDF]
Yang K +6 more
europepmc +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
A keywords extraction algorithm optimized by integrating co-word analysis
The paper proposed a keywords extraction optimization algorithm based on co-word analysis, named CATKE, to address the problems of the single dimension of word importance evaluation and relatively low precision of extracting keywords in the classic TF ...
Ran Huang
doaj +1 more source
Topic Analysis and Mapping of Tuberculosis Research Using Text Mining and Co-Word Analysis. [PDF]
Dastani M +3 more
europepmc +1 more source
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Hierarchical Structure of Depression Knowledge Network and Co-word Analysis of Focus Areas. [PDF]
Yu Q +5 more
europepmc +1 more source

