A5069175963- Traffic and Road Safety
- Building Energy and Comfort Optimization
- Safety Warnings and Signage
- Statistical Methods and Bayesian Inference
- Infrastructure Maintenance and Monitoring
- Wind and Air Flow Studies
- Health Systems, Economic Evaluations, Quality of Life
- Risk and Safety Analysis
- Health, Environment, Cognitive Aging
- Advanced Statistical Methods and Models
- Solar Thermal and Photovoltaic Systems
- Solar Radiation and Photovoltaics
- Climate Change and Health Impacts
- Agriculture and Farm Safety
- Autopsy Techniques and Outcomes
- Anomaly Detection Techniques and Applications
- Autonomous Vehicle Technology and Safety
- Statistical Methods in Epidemiology
- Infection Control and Ventilation
- Traffic control and management
- Cryptography and Data Security
- Traffic Prediction and Management Techniques
- Air Quality Monitoring and Forecasting
- Advanced Causal Inference Techniques
- Internet Traffic Analysis and Secure E-voting
University of North Carolina at Chapel Hill
2012-2025
Xi'an Jiaotong University
2023-2024
City University of Hong Kong
2021-2024
Shougang (China)
2024
Tianjin University
2014-2021
Chinese Academy of Medical Sciences & Peking Union Medical College
2019
Toronto Metropolitan University
2009
Electronic health records (EHRs) provide a rich source of observational patient data that can be explored to infer underlying causal relationships. These relationships applied augment medical decision-making or suggest hypotheses for healthcare research. In this study, we large-scale EHR dataset on patients with asthma related conditions (N = 14,937). The included integrated features representing demographic factors, clinical measures, and environmental exposures. were accessed via service...
SHR-1210 is a new and promising anti-PD-1 agent for solid tumors. During the phase I study of SHR-1210, we encountered novel but prevalent immune-related dermatologic toxicity: reactive capillary hemangiomas (RCHs). Thus tried to summarize features RCHs estimate their relationship with tumor response.This prospective observational systematically enrolled 98 patients advanced tumors from April 27th, 2016 June 8th, 2017 in context clinical SHR-1210. This report focused on skin toxicities....
This study aimed to use robust analysis methods identify and screen locations at risk for pedestrian crashes injuries help Seattle, Washington, a Vision Zero city, broaden treatment priorities beyond only high-crash locations. For this objective, data from the entire network were used develop safety performance functions (SPFs) two crash types: total intersections (a high frequency type) subset of intersection involving through motorists striking crossing pedestrians severity type). Many...
The multivariate Poisson log normal (MVPLN) Bayesian method has recently been introduced in road safety analysis mainly for network screening and using different crash severity levels. However, there is little or no research applying MVPLN to types. Besides, only one model structure the expected crashes of a given was investigated previous studies. Another knowledge gap that this not yet evaluated before–after treatment effect analysis. objective study evaluate application evaluation Two...
Loosely coupled and cross-platform features make Web services accessible increasingly popular on the Internet. However, efficient service discovery automated composition are still challenges under conventional practice where organized into categories. In this paper, we propose a graph-based method to organize ecosystem interlaced with relationships at semantic level. First, modelled as set of interfaces, whose input output parameters annotated well-defined ontologies. Secondly, associations...
Cross-sectional and the empirical Bayes (EB) before–after are two of most common methods for estimating crash modification factors (CMFs). The EB method has now been accepted as one way addressing potential bias caused by regression to mean problem. However, sometimes may not feasible because lack data from before after periods. In those cases, researchers rely on cross-sectional studies develop CMFs. provide biased CMFs through confounding. propensity score (PS) matching method, along with...
The Integrated Clinical and Environmental Exposures Service (ICEES) provides regulatory-compliant open access to sensitive patient data that have been integrated with public exposures data. ICEES was designed initially support dynamic cohort creation bivariate contingency tests. objective of the present study develop an approach multivariate analyses using existing functionalities abiding by all regulatory constraints. We first developed for generating a table maintains contingencies between...
ICEES (Integrated Clinical and Environmental Exposures Service) provides a disease-agnostic, regulatory-compliant approach for openly exposing analyzing clinical data that have been integrated at the patient level with environmental exposures data. is equipped basic features to support exploratory analysis using statistical approaches, such as bivariate chi-square tests. We recently developed method generate multivariate tables subsequent application of machine learning models. The objective...
A significant portion of both fatal and total crashes occurs at intersections in the United States. Skew angle may be a contributor to these crashes. This paper examines effects intersection on safety performance. With seven years crash data from Minnesota five Ohio, random forest regression mining negative binomial models were developed estimate modification functions three-leg four-leg stop-controlled with two-lane multilane major legs. Where possible, results compared between two states...
The Integrated Clinical and Environmental Exposures Service (ICEES) provides open regulatory-compliant access to clinical data, including electronic health record that have been integrated with environmental exposures data. While ICEES has validated in the context of an asthma use case several other cases, regulatory constraints on application programming interface (OpenAPI) result data loss when using service for multivariate analysis. In this study, we investigated robustness OpenAPI...
Wi-Fi is well-known in communication and deployment for indoor localization. Recently, has been exploited human action understanding, e.g., elder fall detection, smoking hand-gesture recognition. Many researchers have made great efforts to associate their own expertise on signals with deep networks like convolutional neural networks, recurrent Transformers representation learning, demonstrate that can promote understanding accuracy. However, expert knowledge always relies the existing...
This paper presents the results of an evaluation flashing yellow arrow (FYA) treatment using data from signalized intersections in Nevada, North Carolina, Oklahoma, and Oregon. The method was empirical Bayes before–after analysis. treatments were divided into seven categories depending on phasing system before period (permissive, protected–permissive, or protected), after (FYA permissive FYA protected–permissive), number roads where implemented (one road both roads), legs at (three four)....