Results 101 to 110 of about 28,707,976 (296)

Hierarchical Structure of Depression Knowledge Network and Co-word Analysis of Focus Areas. [PDF]

open access: yesFront Psychol, 2022
Yu Q   +5 more
europepmc   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Mapping the intellectual structure of the coronavirus field (2000-2020): a co-word analysis. [PDF]

open access: yesScientometrics, 2021
Pourhatami A   +5 more
europepmc   +1 more source

The number of co-occurring material word(s) and the percentage of co-occurrence of 100 material word(s).

open access: yes
The number of co-occurring material word(s) and the percentage of co-occurrence of 100 material word(s).
Kimitaka Asatani (5244176)   +2 more
core   +1 more source

The role of word-word co-occurrence in word meaning learning [PDF]

open access: yes, 2016
A growing body of research on early word learning suggeststhat learners gather word-object co-occurrence statistics acrosslearning situations. Here we test a new mechanism wherebylearners are also sensitive to word-word co-occurrence statis-tics. Indeed,
Dupoux, Emmanuel, Fourtassi, Abdellah
core  

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane   +10 more
wiley   +1 more source

Blockchain and Smart Cities: Co-Word Analysis and BERTopic Modeling

open access: yesSmart Cities
This paper explores the intersection of blockchain technology and smart cities to support the transition toward decentralized, secure, and sustainable urban systems.
Abderahman Rejeb   +3 more
doaj   +1 more source

Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis. [PDF]

open access: yesJMIR Cancer, 2021
Sadatmoosavi A   +4 more
europepmc   +1 more source

Trends and Directions of Extended Reality Research in HCI: A Co-Word Analysis

open access: yesProceedings of the 37th Australian Conference on Human-Computer Interaction
Extended Reality (XR) has generated significant research interest and applied creativity within the field of HCI. This research interest has now accumulated a large volume of literature spanning several decades. To understand the evolution of the technology and its use in this field, we used co-word analysis to visualise and assess the progression of ...
Tinghui Li 0001   +5 more
openaire   +1 more source

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