Chun Xu
Biographic Data
| ID | 6464485 |
|---|---|
| NAME | Chun Xu |
| GIVEN NAMES | Chun |
| FAMILY NAME | Xu |
| SIGNATURE | XU C |
| AFFILIATIONS | Cornell University |
| ORCID | 0000-0001-7893-6341 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Real-time AI feedback for novice intraoral imaging - a pilot three-arm randomized study
BACKGROUND: This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‐time AI feedback could enhance photographic quality, procedural efficiency, learner self‐efficacy, and patient comfort compared with conventional approaches. METHODS: Fifty-four first‐year dental students were randomly assigned to one of three g…
Objective physical activity characteristics and long-term functional disability trajectories in community-dwelling older adults
Background: Functional decline is a major challenge in aging, particularly for those with a history of cerebrovascular events. Yet, prior research relies heavily on self-reported measures. The impact of objective physical activity patterns, particularly sedentary accumulation, on long-term functional prognosis remains unclear. Methods: = 1.9 million). Group-Based Trajectory Modeling (GBTM) was applied to 7 years of follow-up data to identify traj…
Global, regional, and national time trends in falls and their predictions
Background: Falls are a global public health issue with a heavy disease and socioeconomic burden, with an increasing number of risky people. The aim of this study is to explore the global disease burden of falls and to provide a scientific basis for the prevention and management of falls. Methods: This study used data from the Global Burden of Disease Study 2021 (GBD 2021) to analyse global, regional, and national temporal trends in falls. An age…
Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022
Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine learning (ML) approaches. This study aimed to perform feature selection and develop ML approaches in prediction of current e-cigarette use using the 2022 Health Information National Trends Survey (HINT…
Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases
Invisible women in comprehensive plans
This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…
Invisible women in comprehensive plans
This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…
Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases
Invisible women in comprehensive plans
This paper explores attention to the needs of women in comprehensive plans. We interviewed practicing planners and analyzed a 2019 U.S. national survey to identify planning elements that address the needs of women, including zoning codes, built environment, and services. We collected 81 comprehensive plans from communities indicating their comprehensive plans addressed the needs of women. We used Natural Language Processing to explore how women’s…
Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022
Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine learning (ML) approaches. This study aimed to perform feature selection and develop ML approaches in prediction of current e-cigarette use using the 2022 Health Information National Trends Survey (HINT…
Global, regional, and national time trends in falls and their predictions
Background: Falls are a global public health issue with a heavy disease and socioeconomic burden, with an increasing number of risky people. The aim of this study is to explore the global disease burden of falls and to provide a scientific basis for the prevention and management of falls. Methods: This study used data from the Global Burden of Disease Study 2021 (GBD 2021) to analyse global, regional, and national temporal trends in falls. An age…
Real-time AI feedback for novice intraoral imaging - a pilot three-arm randomized study
BACKGROUND: This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‐time AI feedback could enhance photographic quality, procedural efficiency, learner self‐efficacy, and patient comfort compared with conventional approaches. METHODS: Fifty-four first‐year dental students were randomly assigned to one of three g…
Objective physical activity characteristics and long-term functional disability trajectories in community-dwelling older adults
Background: Functional decline is a major challenge in aging, particularly for those with a history of cerebrovascular events. Yet, prior research relies heavily on self-reported measures. The impact of objective physical activity patterns, particularly sedentary accumulation, on long-term functional prognosis remains unclear. Methods: = 1.9 million). Group-Based Trajectory Modeling (GBTM) was applied to 7 years of follow-up data to identify traj…
Logistic regression (3 works) · Balance, Gait, and Falls Prevention (2 works) · Environmental health (2 works) · Gerontology (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Psychology (2 works) · Activities of daily living (1 work) · Artificial Intelligence (1 work) · Association (psychology (1 work)