3 citations · 7 across the 8 of their papers we have counts for
8 papers
Patient-Centered, Graph-Augmented Artificial Intelligence-Enabled Passive Surveillance for Early Stroke Risk Detection in High-Risk Individuals
Jiyeong Kim, Stephen P. Ma, Nirali Vora +11
Stroke affected millions annually, yet poor symptom recognition often delayed care-seeking. To address risk recognition gap, we developed a passive surveillance system for early st…
Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models
Yao Ge, Sudeshna Das, Yuting Guo +1
Biomedical named entity recognition (NER) is a high-utility natural language processing (NLP) task, and large language models (LLMs) show promise particularly in few-shot settings…
Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts
Yuxin Zhu, Yuting Guo, Noah Marchuck +2
Despite rapid advances in large language models (LLMs), their integration with traditional supervised machine learning (ML) techniques that have proven applicability to medical dat…
Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
Yuting Guo, Abeed Sarker
The application of large language models (LLMs) to healthcare information extraction has emerged as a promising approach. This study evaluates the classification performance of fiv…
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi +1
Large language models (LLMs) have demonstrated remarkable success in NLP tasks. However, there is a paucity of studies that attempt to evaluate their performances on social media-b…
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
Seibi Kobara, Alireza Rafiei, Masoud Nateghi +3
Breast cancer is a significant public health concern and is the leading cause of cancer-related deaths among women. Despite advances in breast cancer treatments, medication non-adh…
Leveraging Few-Shot Learning and Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature
Yuting Guo, Seyedeh Somayyeh Mousavi, Reza Sameni +1
Current blood pressure (BP) technologies and standards were established decades ago, and these standards are still used worldwide today, often without adjusting BP readings for ind…
Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
Seyedeh Somayyeh Mousavi, Yuting Guo, Abeed Sarker +1
Hypertension is a global health concern with an increasing prevalence, underscoring the need for effective monitoring and analysis of blood pressure (BP) dynamics. We analyzed a su…