Publications (14)
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
Sudeshna Das, Yao Ge, Yuting Guo +19
The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opi…
Hilbert matrix operator on bound analytic functions
Yuting Guo, Pengcheng Tang
It is well known that the Hilbert matrix operator is bounded from to the mean Lipschitz spaces for all . In this pape…
Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature
Yuting Guo, Seyedeh Somayyeh Mousavi, Reza Sameni +1
Hypertension, defined as blood pressure (BP) that is above normal, holds paramount significance in the realm of public health, as it serves as a critical precursor to various cardi…
Enhancing Cognitive Models of Emotions with Representation Learning
Yuting Guo, Jinho Choi
We present a novel deep learning-based framework to generate embedding representations of fine-grained emotions that can be used to computationally describe psychological models of…
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…
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models
Yao Ge, Yuting Guo, Sudeshna Das +3
We present HILGEN, a Hierarchically-Informed Data Generation approach that combines domain knowledge from the Unified Medical Language System (UMLS) with synthetic data generated b…
Generalized Hilbert operators on Hardy spaces
Yuting Guo, Pengcheng Tang
The paper characterizes when a generalized Hilbert operator is bounded on Hardy spaces H^p by describing the associated multiplier space, provides exact criteria, disproves a recen…
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana +10
Migraine is a high-prevalence and disabling neurological disorder. However, information migraine management in real-world settings could be limited to traditional health informatio…
Few-shot learning for medical text: A systematic review
Yao Ge, Yuting Guo, Yuan-Chi Yang +2
Objective: Few-shot learning (FSL) methods require small numbers of labeled instances for training. As many medical topics have limited annotated textual data in practical settings…
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…
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…
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…
Several Integral Estimates and Some Applications
Xuejun Zhang, Hongxin Chen, Min Zhou +2
In this paper, the authors first consider the bidirectional estimates of several typical integrals. As some applications of these integral estimates, the authors investigate the po…
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…