Results 161 to 170 of about 4,563 (261)
Scientific reports multi relational dual attention graph transformer for fine grained sentiment analysis. [PDF]
Anilkumar AP, Kim SK, Yoon YC.
europepmc +1 more source
Abstract User engagement (UE) has long been proposed as a holistic framework for understanding user‐technology interactions and a mediator for outcomes of digital technology use, such as learning, health behavior change, information acquisition, and social connectivity.
Heather L. O'Brien
wiley +1 more source
BABSA: A large scale bangla aspect based sentiment analysis dataset. [PDF]
Siam MFR, Wafa N.
europepmc +1 more source
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley +1 more source
Temporal Analysis of Patient-Centered Sentiment in Clinical Notes for Patients With Mental Health Conditions: Retrospective Cohort Study. [PDF]
Morsy A, Peters CJ, Miller L, Zirikly A.
europepmc +1 more source
Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria
Aims Late‐diagnosed diabetic retinopathy (DR) is difficult and expensive to treat. Screening programmes can identify the disease early and reduce the costs of its future treatment. This study aims to analyse the cost–benefit of screening programmes for DR.
Iva Nenkova +5 more
wiley +1 more source
ATEdrug: A reliable human-in-the-loop annotation scheme for aspect term extraction and polarity detection in drug reviews. [PDF]
Ansari G +5 more
europepmc +1 more source
Patient‐reported outcomes (PROs) are essential for assessing clinical benefit and tolerability from the patient's perspective. In oncology trials, PRO data analysis often involves responder and time‐to‐event analyses, which depend on predefined thresholds to determine clinically meaningful change.
Anna Margarete Maria Thurner +5 more
wiley +1 more source
Investor sentiment and stock portfolio construction: A study based on the black-litterman model. [PDF]
Sun L, Fu B, Liu W.
europepmc +1 more source
Abstract Despite regulatory progress being made in the past two decades, off‐label drug use in paediatrics remains pervasive, with prevalence estimated between 3% and 97% of prescriptions across different clinical settings. Off‐label use—defined as prescribing outside the conditions described in the Summary of Product Characteristics (SmPC)—is often ...
Tjitske M. van der Zanden +3 more
wiley +1 more source

