Explanipedia

A Self-Explainable Dynamic Risk Monitoring Framework for Predicting Alzheimer’s Disease and Related Dementias Open

Xiaoyang Ruan, Shuyu Lu, Sunyang Fu, Jaerong Ahn, Fang Chen , et al. · 2025

Background Alzheimer’s Disease and Related Dementias (ADRD) affect millions worldwide and can begin over a decade before symptoms appear. ADRD are generally irreversible once clinical symptoms appear, making early prediction and interventi…

MedError: A Machine-Assisted Framework for Systematic Error Analysis in Clinical Concept Extraction Open

Hongfang Liu, Sunyang Fu, Qiuhao Lu, Jaerong Ahn, Fang Chen , et al. · 2025

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability Open

Xiaoyang Ruan, Sunyang Fu, Heling Jia, Kellie L. Mathis, Cornelius A. Thiels , et al. · 2025

Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study Open

Xiaoyang Ruan, Shuyu Lu, Liwei Wang, Andrew Wen, Sameer B. Murali , et al. · 2025

Background Obesity affects approximately 40% of adults and 15%‐20% of children and adolescents in the United States, and poses significant economic and psychosocial burdens. Currently, patient responses to any single antiobesity medication…

A scoping review of OMOP CDM adoption for cancer research using real world data Open

Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang , et al. · 2025

Discovering Signature Disease Trajectories in Pancreatic Cancer and Soft-tissue Sarcoma from Longitudinal Patient Records Open

Liwei Wang, Rui Li, Andrew Wen, Qingli Lu, Jinlian Wang , et al. · 2025

Understanding the disease trajectories of specific diseases can provide important clinical insights. In this paper, we aimed to discover signature disease trajectories of 3 rare cancer types: pancreatic cancer, soft tissue sarcoma (STS) of…

Deep phenotyping obesity using EHR data: Promise, Challenges, and Future Directions Open

Xiaoyang Ruan, Shuyu Lu, Liwei Wang, Andrew Wen, Sameer B. Murali , et al. · 2024

Obesity affects approximately 34% of adults and 15–20% of children and adolescents in the U.S, and poses significant economic and psychosocial burdens. Due to the multifaceted nature of obesity, currently patient responses to any single an…

Current status of anti-obesity medications and performance, an EHR based survey Open

Xiaoyang Ruan, Rui Li, Liwei Wang, Shuyu Lu, Andrew Wen , et al. · 2024

Background Over the past two decades, the Food and Drug Administration (FDA) has significantly increased the approval of anti-obesity medications (AOMs) for obesity management. Both FDA-approved AOMs (F-AOMs) and off-label AOMs (O-AOMs) ha…

Investigating the Impact of Social Determinants of Health on Diagnostic Delays and Access to Antifibrotic Treatment in Idiopathic Pulmonary Fibrosis Open

Rui Li, Qingli Lu, Andrew Wen, Jinlian Wang, Sunyang Fu , et al. · 2024

Idiopathic pulmonary fibrosis (IPF) is a rare disease that is challenging to diagnose. Patients with IPF often spend years awaiting a diagnosis after the onset of initial respiratory symptoms, and only a small percentage receive antifibrot…

Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities Open

Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang , et al. · 2024

Background: The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that is developed and maintained by the Observational Health Data Sciences and Informatics (OHDSI) community supports large scale cancer research by …

Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice Open

Louis Faust, Patrick M. Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu , et al. · 2024

Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over time. While existing literature offers valuable strategies for detecting declining model performance, there is a need t…

Revolutionizing Postoperative Ileus Monitoring: Exploring GRU-D’s Real-Time Capabilities and Cross-Hospital Transferability Open

Xiaoyang Ruan, Sunyang Fu, Heling Jia, Kellie L Mathis, Cornelius A Thiels , et al. · 2024

Background Postoperative ileus (POI) after colorectal surgery leads to increased morbidity, costs, and hospital stays. Identifying POI risk for early intervention is important for improving surgical outcomes especially given the increasing…

GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Open

Xiaoyang Ruan, Liwei Wang, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu · 2023

Accurate prediction models for individual-level endpoints and time-to-endpoints are crucial in clinical practice. In this study, we propose a novel approach, GRU-D-Weibull, which combines gated recurrent units with decay (GRU-D) to model t…

Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice (Preprint) Open

Louis Faust, Patrick M. Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu , et al. · 2023

UNSTRUCTURED Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over time. While existing literature offers valuable strategies for detecting declining model performance, the…

Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction Open

Xiaoyang Ruan, Liwei Wang, Michelle Mai, Charat Thongprayoon, Wisit Cheungpasitporn , et al. · 2022

Real-time individual endpoint prediction has always been a challenging task but of great clinic utility for both patients and healthcare providers. With 6,879 chronic kidney disease stage 4 (CKD4) patients as a use case, we explored the fe…

Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing Open

Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He , et al. · 2022

PURPOSE The advancement of natural language processing (NLP) has promoted the use of detailed textual data in electronic health records (EHRs) to support cancer research and to facilitate patient care. In this review, we aim to assess EHR …

Assessment of Data Quality Variability across Two EHR Systems through a Case Study of Post-Surgical Complications Open

Sunyang Fu, Andrew Wen, Gavin M. Schaeferle, Patrick M. Wilson, Gabriel Demuth , et al. · 2022

Translation of predictive modeling algorithms into routine clinical care workflows faces challenges in the form of varying data quality-related issues caused by the heterogeneity of electronic health record (EHR) systems. To better underst…

Early genetic aberrations in patients with sporadic colorectal cancer Open

Brooke R. Druliner, Xiaoyang Ruan, Hugues Sicotte, Daniel R. O’Brien, Hongfang Liu , et al. · 2017

Chromosome instability (CIN) is widely observed in both sporadic and hereditary colorectal cancer (CRC). Defects in APC and WNT signaling are primarily associated with CIN in hereditary CRC, but the genetic causes for CIN in sporadic CRC r…

Time Lapse to Colorectal Cancer: Telomere Dynamics Define the Malignant Potential of Polyps Open

Brooke R. Druliner, Xiaoyang Ruan, Ruth E. Johnson, Diane E. Grill, D. O’Brien , et al. · 2017

Correction to:Clinical and Translational Gastroenterology (2016) 7, e188; doi:10.1038/ctg.2016.48. Published online 1 September 2016 In the Conflict of interest section, the Financial support section should read: This work was supported by…

Time Lapse to Colorectal Cancer: Telomere Dynamics Define the Malignant Potential of Polyps Open

Brooke R. Druliner, Xiaoyang Ruan, Ruth Johnson, Diane E. Grill, Daniel O’Brien , et al. · 2016

Adenomas that progress to cancer exhibit distinct telomere length and TMM profiles. We report for the first time that PBL telomeres differ in patients with polyps that become malignant, and therefore may have clinical value in adenoma risk…

Colorectal Cancer with Residual Polyp of Origin: A Model of Malignant Transformation Open

Brooke R. Druliner, Shahrooz Rashtak, Xiaoyang Ruan, Taejeong Bae, Nikolaos Vasmatzis , et al. · 2016

Comparison of Three Information Sources for Smoking Information in Electronic Health Records Open

Liwei Wang, Xiaoyang Ruan, Ping Yang, Hongfang Liu · 2016

Objective The primary aim was to compare independent and joint performance of retrieving smoking status through different sources, including narrative text processed by natural language processing (NLP), patient-provided information (PPI),…

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