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Natural language processing

Development, optimization, and preliminary evaluation of a novel artificial intelligence tool to promote patient health literacy in radiology reports: The Rads-Lit tool

Rushabh H. Doshi, Kanhai Amin, [ ... ], Sophie Chheang

Predicting 30-day hospital readmissions using ClinicalT5 with structured and unstructured electronic health records

Sanjib Raj Pandey, Joy Dooshima Tile, Mahdi Maktab Dar Oghaz

Back-translation effects on static and contextual word embeddings for topic classification embedding in classification tasks

Dávid Držík, Lívia Kelebercová

Arab2Vec: An Arabic word embedding model for use in Twitter NLP applications

Abdelrahman Hamdy, Ayman Youssef, Conor Ryan

Exploring the consistency, quality and challenges in manual and automated coding of free-text diagnoses from hospital outpatient letters

Warren Del-Pinto, George Demetriou, [ ... ], Goran Nenadic

Navigating tenses in Bengali sentences: A stacked ensemble model for enhanced prediction

Umme Ayman, Md. Nahid Hasan, [ ... ], Md. Fayejullah

Advancing medical question answering with a knowledge embedding transformer

Xiang Zhu, Mustaqeem Khan, Abdelmalik Taleb-Ahmed, Alice Othmani

Racial bias in clinician assessment of patient credibility: Evidence from electronic health records

Mary Catherine Beach, Keith Harrigian, [ ... ], Somnath Saha

Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference

Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan, Ashley I. Heinson

DPRM: DeBERTa-based potential relationship multi-headed self-attention joint extraction model

Songjiang Li, Jinming Cao, [ ... ], Peng Wang

Zero-shot performance analysis of large language models in sumrate maximization

Ali Abir Shuvro, Md. Shahriar Islam Bhuiyan, Faisal Hussain, Md. Sakhawat Hossen

Decoding community proximity discourse: A mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland

Victor Bros, Daniel Gatica-Perez

Features extraction based on Naive Bayes algorithm and TF-IDF for news classification

Li Zhang

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