Ying Ding
YOU?
Author Swipe
A multi-stage large language model framework for extracting suicide-related social determinants of health Open
Our approach improves both the accuracy and transparency of extracting suicide-related SDoH from unstructured texts. These advancements have the potential to support early identification of individuals at risk and inform more effective pre…
View article: SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic Analysis
SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic Analysis Open
Thematic Analysis (TA) is a widely used qualitative method that provides a structured yet flexible framework for identifying and reporting patterns in clinical interview transcripts. However, manual thematic analysis is time-consuming and …
View article: Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models
Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models Open
This position paper examines how large language models (LLMs) can support thematic analysis of unstructured clinical transcripts, a widely used but resource-intensive method for uncovering patterns in patient and provider narratives. We co…
View article: SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes
SBDH-Reader: a large language model-powered method for extracting social and behavioral determinants of health from clinical notes Open
Objective Social and behavioral determinants of health (SBDH) are increasingly recognized as essential for prognostication and informing targeted interventions. Clinical notes often contain details about SBDH in unstructured format. Conven…
View article: Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning
Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Open
Congenital heart disease (CHD) presents complex, lifelong challenges often underrepresented in traditional clinical metrics. While unstructured narratives offer rich insights into patient and caregiver experiences, manual thematic analysis…
View article: PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science Open
Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and…
How do entrepreneurial traits affect green entrepreneurial performance? A Fuzzy set qualitative comparative analysis (fsQCA) Open
Green entrepreneurship has emerged as a critical research area, yet existing studies predominantly focus on the isolated impact of individual entrepreneurial traits on performance, overlooking the complex interplay of multiple factors, esp…
SDoH-GPT: using large language models to extract social determinants of health Open
Objective Extracting social determinants of health (SDoHs) from medical notes depends heavily on labor-intensive annotations, which are typically task-specific, hampering reusability and limiting sharing. Here, we introduce SDoH-GPT, a nov…
View article: Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production Open
CSCW has long examined how emerging technologies reshape the ways researchers collaborate and produce knowledge, with scientific knowledge production as a central area of focus. As AI becomes increasingly integrated into scientific researc…
Pentraxin 3 promotes the expression of pro-inflammatory cytokines and the migration of macrophages in myocarditis Open
Our findings suggest that PTX3-mediated NLRP3 activation contributes to inflammatory responses and promotes macrophage migration in myocarditis. This study provides a foundation for future investigations into PTX3-targeted therapies for my…
View article: Convalescent plasma for the treatment of patients with COVID-19: the Singapore experience and lessons learnt
Convalescent plasma for the treatment of patients with COVID-19: the Singapore experience and lessons learnt Open
Introduction: We report Singapore’s convalescent plasma (CP) programme during the first year of the COVID-19 pandemic. Based on historical data and its potential therapeutic promise, CP was offered as an experimental treatment option for s…
View article: TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews Open
Thematic analysis (TA) is a widely used qualitative approach for uncovering latent meanings in unstructured text data. TA provides valuable insights in healthcare but is resource-intensive. Large Language Models (LLMs) have been introduced…
View article: MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models Open
Advancements in Large Language Models (LLMs) and their increasing use in medical question-answering necessitate rigorous evaluation of their reliability. A critical challenge lies in hallucination, where models generate plausible yet factu…
Position: Open and Closed Large Language Models in Healthcare Open
This position paper analyzes the evolving roles of open-source and closed-source large language models (LLMs) in healthcare, emphasizing their distinct contributions and the scientific community's response to their development. Due to thei…
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. Open
Social determinants of health (SDoH) play a crucial role in patient health outcomes, yet their integration into biomedical knowledge graphs remains underexplored. This study addresses this gap by constructing an SDoH-enriched knowledge gra…
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue Open
The degraded performance and group unfairness caused by confounding sensitive attributes in rumor detection remains relatively unexplored. To address this, we propose a two-step framework. Initially, it identifies confounding sensitive att…
View article: An empirical study of using radiology reports and images to improve intensive care unit mortality prediction
An empirical study of using radiology reports and images to improve intensive care unit mortality prediction Open
Objectives The predictive intensive care unit (ICU) scoring system is crucial for predicting patient outcomes, particularly mortality. Traditional scoring systems rely mainly on structured clinical data from electronic health records, whic…
Are Large Language Models Useful for Time Series Data Analysis? Open
Time series data plays a critical role across diverse domains such as healthcare, energy, and finance, where tasks like classification, anomaly detection, and forecasting are essential for informed decision-making. Recently, large language…
View article: Supernova electron-neutrino interactions with xenon in the nEXO detector
Supernova electron-neutrino interactions with xenon in the nEXO detector Open
Electron-neutrino charged-current interactions with xenon nuclei were modeled in the nEXO neutrinoless double-β decay detector (∼5 metric ton, 90% Xe136, 10% Xe134) to evaluate its sensitivity to supernova neutrinos. Predictions for event …
A dataset of venture capitalist types in China (1978–2021): A machine-human hybrid approach Open
Despite escalating interest in distinguishing among various types of venture capitalists (VCs) and their roles in shaping entrepreneurship and innovation, such research remains sparse in the world’s second-largest VC market, i.e., China. T…
View article: PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science Open
Papers, patents, and clinical trials are essential scientific resources in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and…
View article: Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay
Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay Open
This Letter reports the first measurement of the oscillation amplitude and frequency of reactor antineutrinos at Daya Bay via neutron capture on hydrogen using 1958 days of data. With over 3.6 million signal candidates, an optimized candid…
Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study Open
Background Physical activity has emerged as a modifiable behavioral factor to improve cognitive function. However, research on adherence to remote monitoring of physical activity in older adults is limited. Objective This study aimed to as…