The public health policy landscape is shaped by the dynamic interrelationship between legal, institutional, and regulatory ...
NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...
Abstract: Text summarization, which is the process of making a brief summary of text while preserving its overall meaning, is an important problem in Natural Language Processing (NLP). Automatic ...
The proliferation of online healthcare rating websites has created a vast source of UPF. Natural language processing (NLP) techniques, particularly sentiment analysis and topic modelling, are ...
Natural language processing—often shortened to NLP—is a branch of artificial intelligence that helps computers understand, interpret, and respond to human language. It’s the technology that allows ...
Abstract: The purpose of this work is to investigate the use of Natural Language Processing (NLP) techniques in the field of automated textbook summarisation. As a result of the exponential growth of ...
Purpose: Free-text clinical notes contain rich prognostic information often lost in traditional models limited to structured variables (e.g., age, sex, NIHSS). Deep learning–based natural language ...
Background: The impact of arterial segment location on post-thrombectomy language improvement has not been well characterized. We evaluated trends in language function after thrombectomy and ...
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