A5113134285- Biomedical Text Mining and Ontologies
- Topic Modeling
- Vaccine Coverage and Hesitancy
- Influenza Virus Research Studies
- Traditional Chinese Medicine Studies
- Pneumonia and Respiratory Infections
- Misinformation and Its Impacts
- Pharmacovigilance and Adverse Drug Reactions
- Data Quality and Management
- Natural Language Processing Techniques
- SARS-CoV-2 and COVID-19 Research
- Bacterial Infections and Vaccines
- Long-Term Effects of COVID-19
- Advanced Text Analysis Techniques
- Machine Learning in Bioinformatics
- Advanced Image and Video Retrieval Techniques
- Psychology of Moral and Emotional Judgment
- Wikis in Education and Collaboration
- Machine Learning in Healthcare
- Building Energy and Comfort Optimization
- Acupuncture Treatment Research Studies
- Hate Speech and Cyberbullying Detection
- Academic integrity and plagiarism
The University of Texas Health Science Center at Houston
2023-2024
Nanyang Technological University
2024
Though Vaccines are instrumental in global health, mitigating infectious diseases and pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large Language Models (LLMs) have shown promise effectively identifying cataloging AEs within clinical reports. Utilizing data from the Vaccine Adverse Event Reporting System (VAERS) 1990 2016, this study particularly focuses on evaluate LLMs’ capability for AE extraction. A variety of prevalent LLMs, including GPT-2, GPT-3...
Abstract Objectives Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer (GPT) incorporates 2 distinct modes—real-time search model utilization—it encounters challenges in dealing with these tasks. Specifically, real-time can pinpoint some relevant articles but occasionally provides fabricated papers, whereas excels generating well-structured summaries struggles to cite specific sources....
Background The COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact worldwide, leading to widespread morbidity and mortality. Vaccination against is critical tool in controlling the spread of virus reducing severity disease. However, rapid development deployment vaccines have raised concerns about potential adverse events following immunization (AEFIs). Understanding temporal spatial patterns these AEFIs crucial for an effective public health response vaccine safety monitoring....
Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend targeted Clinical trials evaluate vaccine performance, including dosage, administration routes, potential side effects.
Abstract Objective In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities large models (LLMs) like Generative Pre-trained Transformers (GPTs) and Llama present a significant opportunity extracting relations related to acupoint locations from textual knowledge sources. This study aims explore performance LLMs in acupoint-related assess impact fine-tuning on GPT’s performance. Materials Methods We utilized...
<title>Abstract</title> Background To mitigate the spread of variants such as Omicron in COVID-19 pandemic, development and utilization bivalent vaccines have become essential. However, an expected subset individuals may experience serious adverse events (AE) after receiving vaccine. Methods In this research, we conducted in-depth analysis data obtained from Centers for Disease Control Prevention (CDC) Vaccine Adverse Event Reporting System (VAERS) to evaluate safety administered between...
Acupuncture point location information is significant to the effect of acupuncture therapy. A wealth knowledge related locations typically dispersed across books or reports in free-text format, which can pose challenges for machines understand and facilitate. In this study, our purpose develop a natural language processing (NLP) tool extract information. We adopted World Health Organization (WHO) Standard Point Locations Western Pacific Region (WHO Standard) as reference standard corpus. Our...
: HPV vaccine is an effective measure to prevent and control the diseases caused by Human Papillomavirus (HPV). This study addresses development of VaxBot-HPV, a chatbot aimed at improving health literacy promoting vaccination uptake providing information answering questions about vaccine;
<title>Abstract</title> Background Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend targeted Clinical trials evaluate vaccine performance, including dosage, administration routes, potential side effects. ClinicalTrials.gov is a valuable repository of clinical trial information, but data in them lacks standardization, leading challenges automatic concept mapping, vaccine-related...
Though Vaccines are instrumental in global health, mitigating infectious diseases and pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large Language Models (LLMs) have shown promise effectively identifying cataloging AEs within clinical reports. Utilizing data from the Vaccine Adverse Event Reporting System (VAERS) 1990 2016, this study particularly focuses on evaluate LLMs' capability for AE extraction. A variety of prevalent LLMs, including GPT-2, GPT-3...
Heat-related fatalities, predominantly from heatstroke, commonly occur indoors within residential settings. Consequently, accurate prediction of indoor temperatures is crucial for preventing such fatalities. However, few studies have measured the thermal environment general existing buildings rather than newly built buildings, and that predicted based on measurement.This study 17 detached wooden homes in two towns Ota Ward, Tokyo Metropolis, Japan July 25 to September 20, 2018, spanning a...