Results 191 to 200 of about 24,177,706 (292)

Scientific reports multi relational dual attention graph transformer for fine grained sentiment analysis. [PDF]

Sci Rep
Anilkumar AP, Kim SK, Yoon YC.
europepmc   +1 more source

The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood

Journal of the Association for Information Science and Technology, EarlyView.
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

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines. [PDF]

Sci Rep
Tiwari D, Bhati BS, Garg P, Babbar N.
europepmc   +1 more source

Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria

British Journal of Clinical Pharmacology, EarlyView.
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, Yoana Lilova, Alexander Oscar, Alina Levi, Maria Kamusheva, Guenka Petrova   +5 more
wiley   +1 more source

The gig satisfaction gap: a comparative machine learning analysis of job satisfaction determinants between gig and traditional employees. [PDF]

Front Psychol
Li Y, Cheng J.
europepmc   +1 more source

A scoping review of thresholds for responder and time‐to‐event analysis of patient‐reported outcomes in breast cancer trials

British Journal of Clinical Pharmacology, EarlyView.
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, Daniela Krepper, Micha Johannes Pilz, Lisa Marie Storz, Maike Thumfart, Johannes Maria Giesinger   +5 more
wiley   +1 more source

BABSA: A large scale bangla aspect based sentiment analysis dataset. [PDF]

Data Brief
Siam MFR, Wafa N.
europepmc   +1 more source

Beyond the label: Rethinking off‐label drug use in paediatrics. Towards a scientifically grounded and safer future for paediatric pharmacotherapy

British Journal of Clinical Pharmacology, EarlyView.
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, Miriam G. Mooij, Matthijs de Hoog, Saskia N. de Wildt   +3 more
wiley   +1 more source

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]

Sci Rep
Gebremeskel HG, Feng C, Abera AM, Binegde GN.   +3 more
europepmc   +1 more source

Through the lens of marketing authorization holders: experience in use of real‐world data and real‐world evidence in drug development and regulatory submissions in EU

British Journal of Clinical Pharmacology, EarlyView.
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, Aleksandar Gigov, Hubertus G. M. Leufkens, Andrew Bate, Marie Louise De Bruin, Helga Gardarsdottir   +5 more
wiley   +1 more source