This perspective highlights the importance of addressing social determinants of health (SDOH) in patient health outcomes and health inequity, a global problem exacerbated by the COVID-19 pandemic. We provide a broad discussion on current developments...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ontology concepts, is essential for realizing value from electronic health records (EHR) in support of precision medicine. Despite technological advances...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Time roots in applying language models for biomedical applications: models are trained on historical data and will be deployed for new or future data, which may vary from training data. While increasing biomedical tasks have employed state-of-the-art...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented opportunities to streamline processes, enhance patient engagement, and improve data quality. Growing technology device and broadband access are contributin...
The large language models (LLMs) represent a technology that has not yet seen widespread use. In addition to the automatic transcription of doctor-patient conversations, these tools will be able to support doctors in diagnosis and improve communicati...
The advent of large language models (LLMs) based on neural networks marks a significant shift in academic writing, particularly in medical sciences. These models, including OpenAI's GPT-4, Google's Bard, and Anthropic's Claude, enable more efficient ...
Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more a...
Generative artificial intelligence (GAI) and large language models (LLM) made their fulgurant irruption in our society at all levels, inclusive in health care. Possible applications and proofs of concept are everywhere. There is without any reasonabl...
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2024
This chapter presents a practical guide for conducting sentiment analysis using Natural Language Processing (NLP) techniques in the domain of tick-borne disease text. The aim is to demonstrate the process of how the presence of bias in the discourse ...
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