A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines. [PDF]
Tiwari D, Bhati BS, Garg P, Babbar N.
europepmc +1 more source
Abstract Aim The aim of this study was to assess the general and product‐specific experiences of MAHs use of RWD/RWE in medicines development and in their regulatory submissions, and to explore organizational aspects of MAHs related to RWD/RWE. Methods An electronic survey was conducted, and information collected directly from MAHs.
Sini M. Eskola +5 more
wiley +1 more source
Analyzing gendered patterns in sentiments in comments under STEM YouTube channels. [PDF]
Karn I +3 more
europepmc +1 more source
This study provides the first open‐source tool to implement the complete TEN‐SPIDERS framework in linked datasets for the determination of the PDC for medication adherence. The TEN‐SPIDERS tool enables transparent, reproducible medication adherence research through automated reporting of all calculation parameters and flexible customization options ...
Adam C. Livori +8 more
wiley +1 more source
External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction. [PDF]
Huang Y, Zhou X, Yin R, Shi P.
europepmc +1 more source
The impact of medication shortages on paediatric care: A retrospective impact analysis
Aims Medication shortages are a growing global concern, with potentially greater consequences in paediatric patients because of the limited availability of safe, evidence‐based and appropriately formulated medication. This study aimed to evaluate the impact of medication shortages on paediatric patients by assessing the suitability and safety of ...
Maaike Johanna Rutten ‐ van Kranenburg +6 more
wiley +1 more source
The gig satisfaction gap: a comparative machine learning analysis of job satisfaction determinants between gig and traditional employees. [PDF]
Li Y, Cheng J.
europepmc +1 more source
A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence. [PDF]
Kılıç Z, Aslan E, Ozupak Y.
europepmc +1 more source
TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]
Gebremeskel HG +3 more
europepmc +1 more source

