AIMC Topic: Natural Language Processing
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph.
Journal of biomedical informatics
Sep 10, 2024
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link predictio...
Prompt Engineering Paradigms for Medical Applications: Scoping Review.
Journal of medical Internet research
Sep 10, 2024
BACKGROUND: Prompt engineering, focusing on crafting effective prompts to large language models (LLMs), has garnered attention for its capabilities at harnessing the potential of LLMs. This is even more crucial in the medical domain due to its specia...
The lived experience of gambling-related harm in natural language.
Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors
Sep 9, 2024
OBJECTIVE: Gambling-related harms can have a significant negative impact on disordered gamblers, lower risk gamblers, and affected others. Yet, most disordered and lower risk gamblers will never seek formal treatment, often due to the stigma and sham...
Bridging auditory perception and natural language processing with semantically informed deep neural networks.
Scientific reports
Sep 9, 2024
Sound recognition is effortless for humans but poses a significant challenge for artificial hearing systems. Deep neural networks (DNNs), especially convolutional neural networks (CNNs), have recently surpassed traditional machine learning in sound c...
EnzChemRED, a rich enzyme chemistry relation extraction dataset.
Scientific data
Sep 9, 2024
Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzym...
The Potential of Gemini and GPTs for Structured Report Generation based on Free-Text F-FDG PET/CT Breast Cancer Reports.
Academic radiology
Sep 7, 2024
RATIONALE AND OBJECTIVE: To compare the performance of large language model (LLM) based Gemini and Generative Pre-trained Transformers (GPTs) in data mining and generating structured reports based on free-text PET/CT reports for breast cancer after u...
Rule-based natural language processing to examine variation in worsening heart failure hospitalizations by age, sex, race and ethnicity, and left ventricular ejection fraction.
American heart journal
Sep 7, 2024
BACKGROUND: Prior studies characterizing worsening heart failure events (WHFE) have been limited in using structured healthcare data from hospitalizations, and with little exploration of sociodemographic variation. The current study examined the impa...
Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modeling.
PloS one
Sep 6, 2024
Narratives posted on the internet by patients contain a vast amount of information about various concerns. This study aimed to extract multiple concerns from interviews with breast cancer patients using the natural language processing (NLP) model bid...
Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box.
Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia
Sep 4, 2024
Artificial Intelligence (AI) has evolved significantly over the past decades, from its early concepts in the 1950s to the present era of deep learning and natural language processing. Advanced large language models (LLMs), such as Chatbot Generative ...
Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis.
JMIR mental health
Sep 4, 2024
BACKGROUND: Depression represents a pressing global public health concern, impacting the physical and mental well-being of hundreds of millions worldwide. Notwithstanding advances in clinical practice, an alarming number of individuals at risk for de...
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