Hong Qing Yu

Bridging Knowledge Gaps in Clinical AI: An Activity Theory Perspective on Interdisciplinary Data Work for Telehealth

Bingsheng Yao, Yao Du, Yue Fu, Xuhai Xu et autres

Advanced AI technologies are increasingly integrated into clinical domains to advance patient care. The design and development of clinical AI technologies necessitate seamless collaboration between clinical and technical experts. However, such interdisciplinary teams are often unsuccessful, with a lack of systematic analysis …

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Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data

Xiaohui Yin, Avijit Mitra, Ying Zhou, Kun Chen et autres

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Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

Rohan Pandey, Haijuan Yan, Hong Qing Yu, Jack Tsai

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offers a pathway for proactive intervention. In this retrospective prognostic study, we analyzed electronic health record (EHR) data from 4,276,403 Veterans Affairs patients during a 2016 observation period to …

Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

Rohan Pandey, Haijuan Yan, Hong Qing Yu, Jack Tsai

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offers a pathway for proactive intervention. In this retrospective prognostic study, we analyzed electronic health record (EHR) data from 4,276,403 Veterans Affairs patients during a 2016 observation period to …

Socioeconomic, demographic and geographic disparities in accessibility to food pantries in the united States

Yifan Zhang, Minhwa Lee, Jason Brian Gibbons, Huan-Yuan Chen et autres

Improving access to food pantries (FPs) may help address food insecurity, yet national-level assessments of geographic and socioeconomic disparities remain limited. We created a dataset of 34,475 FPs across all 50 states and the District of Columbia and analyzed their accessibility to …

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DualAlign: Generating Clinically Grounded Synthetic Data

Rui Li, Xun Wang, Hong Qing Yu

Abstract Synthetic clinical data are increasingly important for advancing AI in healthcare, given strict privacy constraints on real-world EHRs, limited availability of annotated rare-condition data, and systemic biases in observational datasets. While large language models (LLMs) can generate fluent clinical text, producing …

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A Dataset for Benchmarking Machine Learning Models for Autonomous Deep Vein Thrombosis Detection Based on Compression Ultrasound Videos

Stylianos Didaskalou, Nick Portokallidis, Katerina Tzatzimaki, Maria Liapi et autres

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Predicting suicide death among veterans after psychiatric hospitalization using transformer based models with social determinants and NLP

Zhichao Yang, Avijit Mitra, Wen Jie Hu, Dan R. Berlowitz et autres

Predictions of suicide death of patients discharged from psychiatric hospitals (PDPH) can guide intervention efforts including intensive post-discharge case management programs, designed to reduce suicide risk among high-risk patients. This study aims to determine if additions of social and behavioral determinants of …

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Mechanistic Insights into Dihydroartemisinin's Therapeutic Potential Against Drug-Resistant NSCLC via AURKA Targeting: A Network Pharmacology and Experimental Study

Qian Lin, Yunjie Tao, Yujia Xue, Hao Shi et autres

cn (code pays fourni par la source)

Improving Rare and Common ICD Coding via a Multi-Agent LLM-Based Approach

Rumeng Li, Xun Wang, Hong Qing Yu

Large Language Models (LLMs) have shown strong performance in tasks such as zero- and few-shot information extraction from clinical text without domain-specific training. However, in the ICD coding task, LLMs often hallucinate key details and produce high-recall but low-precision outputs due to …

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Application of Building Information Modeling + Algorithm Model in the “Four Preparations” for Seepage Safety of Concrete Face Rockfill Dam

Hou Yi, Bin Mei, Jian Zhang, Hong Qing Yu

Abstract Not only does China possess more than half of the total number of concrete face rockfill dams (CFRD) worldwide, but it has also experienced painful lessons regarding seepage stability control. Particularly, the continuous advancement of digital twin technology within the water …

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A resilience-oriented preventive unit commitment method incorporating load criticality during typhoon disaster scenarios

Jing Zhou, Sixiang Xue, Liling Sun, Menghua Deng et autres

Extreme disaster events characterized by low probability but high potential losses, such as typhoons, exert a substantial influence on the safety and stability of power system operations. To strengthen the resilience of power systems under typhoon-induced disaster conditions, while accounting for critical …

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