Dongmei Li

University of Rochester Medical Center

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i-10 index

Research Trends

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Co-Authors

Zidian Xie

University of Rochester Medical Center

Irfan Rahman

University of Rochester Medical Center

Deborah J. Ossip

University of Rochester Medical Center

Isaac K. Sundar

University of Kansas Medical Center

Scott McIntosh

University of Rochester Medical Center

Martin S. Zand

University of Rochester

Timothy Dye

University of Rochester

MŁ

Maciej Ł. Goniewicz

Roswell Park Comprehensive Cancer Center

Krishna P. Maremanda

Brigham and Women's Hospital

Richard J. O’Connor

Roswell Park Comprehensive Cancer Center

Cooperative Institutions

University of Rochester

231

University of Rochester Medical Center

212

Chinese Academy of Sciences

169

Shanghai Jiao Tong University

143

Chinese Academy of Medical Sciences & Peking Union Medical College

129

Peking University

123

Capital Medical University

Sun Yat-sen University

Harvard University

Sichuan University

Author Statistics

Papers

Citation

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i-10 index

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Variations in Patterns of Utilization and Charges for the Care of Neck Pain in North Carolina, 2000 to 2009: A Statewide Claims’ Data Analysis

Journal of Manipulative and Physiological Therapeutics (2016)

Eric L. Hurwitz Dongmei Li Jenni Guillen Michael Schneider Joel M. Stevans

Neck pain

10.1016/j.jmpt.2016.02.007

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Citations (8)

History and status quo of higher public health education in China

Public health reviews (2020)

Hui Jin Guoqiang Dong Liling Zou Xiaobing Shen Dongmei Li

This purpose of the study is to systematically understand the development history and influencing factors of higher public health education in China. We extensively collected the public health education-related literature in China, summarized the general framework, historical origin, and development mode of the existing public health education system, and discussed the potential development tendency. Public health education in China changed with the development of higher medical education and higher education in China. Higher education in China has experienced several large-scale adjustments and enrollment expansions due to different purposes. Therefore, its development stage can be roughly divided into three stages: 1949 to 1976 (period of planned economy), 1977 to late 1998 (period of reform and opening up), and from 1999 to present (period of deepening reform and social transformation). The current public health education in China is influenced by many models, such as the American model, European model (especially the former Soviet Union), and ideological and political education model. It still faces some problems or challenges, such as bachelor's programs, Master of Public Health, social identity, professional accreditation, and broader public health. In fact, it is necessary to establish an important education system based on the concept of modern public health, beyond the existing medical education system, in order to meet the challenges and needs of public health in the twenty-first century.

10.1186/s40985-020-00120-x

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Citations (16)

NeuralGait

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022)

Huining Li Huan Chen Chenhan Xu Zhengxiong Li Hanbin Zhang

Brain health attracts more recent attention as the population ages. Smartphone-based gait sensing and analysis can help identify the risks of brain diseases in daily life for prevention. Existing gait analysis approaches mainly hand-craft temporal gait features or developing CNN-based feature extractors, but they are either prone to lose some inconspicuous pathological information or are only dedicated to a single brain disease screening. We discover that the relationship between gait segments can be used as a principle and generic indicator to quantify multiple pathological patterns. In this paper, we propose NeuralGait, a pervasive smartphone-cloud system that passively captures and analyzes principle gait segments relationship for brain health assessment. On the smartphone end, inertial gait data are collected while putting the smartphone in the pants pocket. We then craft local temporal-frequent gait domain features and develop a self-attention-based gait segment relationship encoder. Afterward, the domain features and relation features are fed to a scalable RiskNet in the cloud for brain health assessment. We also design a pathological hot update protocol to efficiently add new brain diseases in the RiskNet. NeuralGait is practical as it provides brain health assessment with no burden in daily life. In the experiment, we recruit 988 healthy people and 417 patients with a single or combination of PD, TBI, and stroke, and evaluate the brain health assessment using a set of specifically designed metrics including global accuracy, exact accuracy, sensitivity, and false alarm rate. We also demonstrate the generalization (e.g., analysis of feature effectiveness and model efficiency) and inclusiveness of NeuralGait.

Feature (linguistics)

10.1145/3569476

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Citations (43)

Public Reactions towards the COVID-19 Pandemic on Twitter in the United Kingdom and the United States

medRxiv (Cold Spring Harbor Laboratory) (2020)

Canruo Zou Xueting Wang Zidian Xie Dongmei Li

The coronavirus disease 2019 (COVID-19) has spread globally since December 2019. Twitter is a popular social media platform with active discussions about the COVID-19 pandemic. The public reactions on Twitter about the COVID-19 pandemic in different countries have not been studied. This study aims to compare the public reactions towards the COVID-19 pandemic between the United Kingdom and the United States from March 6, 2020 to April 2, 2020.The numbers of confirmed COVID-19 cases in the United Kingdom and the United States were obtained from the 1Point3Acres website. Twitter data were collected using COVID-19 related keywords from March 6, 2020 to April 2, 2020.Temporal analyses were performed on COVID-19 related Twitter posts (tweets) during the study period to show daily trends and hourly trends. The sentiment scores of the tweets on COVID-19 were analyzed and associated with the policy announcements and the number of confirmed COVID-19 cases. Topic modeling was conducted to identify related topics discussed with COVID-19 in the United Kingdom and the United States.The number of daily new confirmed COVID-19 cases in the United Kingdom was significantly lower than that in the United States during our study period. There were 3,556,442 COVID-19 tweets in the United Kingdom and 16,280,065 tweets in the United States during the study period. The number of COVID-19 tweets per 10,000 Twitter users in the United Kingdom was lower than that in the United States. The sentiment scores of COVID-19 tweets in the United Kingdom were less negative than those in the United States. The topics discussed in COVID-19 tweets in the United Kingdom were mostly about the gratitude to government and health workers, while the topics in the United States were mostly about the global COVID-19 pandemic situation.Our study showed correlations between the public reactions towards the COVID-19 pandemic on Twitter and the confirmed COVID-19 cases as well as the policies related to the COVID-19 pandemic in the United Kingdom and the United States.

Pandemic

2019-20 coronavirus outbreak

Kingdom

10.1101/2020.07.25.20162024

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Citations (18)

A Novel Laser Target Simulator with High Precision and High Attenuation Rate

Tehnicki vjesnik - Technical Gazette (2022)

Guanxin Zhang Dongmei Li Fang Li Feng Ren

In order to simulate the target echo laser signal, we designed a novel laser target simulator with high precision and high attenuation rate used for sensitivity test, function test or tracking mode test of laser receiving equipment, such as Lidar and Laser Range Finder.Regarding the laser receiving equipment on the motion platform, the model of target echo power was established based on the characteristics of laser atmospheric transmissions in the application environment.The simulation shows the model is consistent with the test data.Additionally, the MEMS ESVOA (Micro-Electro Mechanical Systems Electro-Static Variable Optical Attenuator) device was used in the overall solution of the laser target simulator to realize the target echo signal simulation with miniaturization, high attenuation rate and high precision.Finally, a laser target simulator test system was built and its high rate of attenuation, high precision and stability of laser power tested.The test results show that the change rate of target echo signal energy is more than 7 × 10 4 dB/s, the power simulation accuracy is better than 0.1 dB and the laser pulse power stability is better than 0.61%.

Attenuator (electronics)

SIGNAL (programming language)

10.17559/tv-20210417182149

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Citations (0)

An evaluation of statistical differential analysis methods in single-cell RNA-seq data

Research Square (Research Square) (2023)

Dongmei Li Martin S. Zand Timothy Dye Maciej Ł. Goniewicz Irfan Rahman

Single-cell RNA Sequencing is gaining popularity in recent years. Compared to bulk RNA-Seq, single-cell RNA Sequencing allows the gene expression being measured within individual cells instead of mean gene expression levels across all cells in the sample. Thus, cell-to-cell variation of gene expressions could be examined. Gene differential expression analysis remains the major purpose in most single-cell RNA sequencing experiments and many methods have been developed in recent years to conduct gene differential expression analysis for single-cell RNA sequencing data.Through simulation studies and real data examples, we evaluated the performance of five open-source popular methods used for gene differential expression analysis in single-cell RNA sequencing data. The five methods included DEsingle (Zero-inflated negative binomial model), Linnorm (Empirical Bayes method on transformed count data using the limma package), monocle (An approximate Chi-Square likelihood ratio test), MAST (A generalized linear hurdle model), and DESeq2 (A generalized linear model with empirical Bayes approach and also commonly used for bulk RNA sequencing differential express analyses). We assessed the false discovery rate (FDR) control, sensitivity, specificity, accuracy, and area under the receiver operating characteristics (AUROC) curve for all five methods under different sample sizes, distribution assumptions, and proportions of zeros in the data.We found the MAST method performed the best among the five methods compared with the largest AUROC values across all tested sample sizes and different proportion of truly differential expressed genes, when the data followed negative binomial distributions. When the sample size increased to 100 in each group, the MAST method showed the best performance with the highest AUROC regardless of the data distributions. If the excess zeros were first filtered out before the gene differential analyses, the DESingle, Linnorm, and DESeq2 performed relatively better than the MAST and the monocle methods with higher AUROC values.

False Discovery Rate

Binomial distribution

10.21203/rs.3.rs-2670717/v1

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Citations (2)

Peer review of clinical and translational research manuscripts: Perspectives from statistical collaborators

Journal of Clinical and Translational Science (2024)

Phillip J. Schulte Judith D. Goldberg Robert A. Oster Walter T. Ambrosius Lauren C. Balmert

Abstract Research articles in the clinical and translational science literature commonly use quantitative data to inform evaluation of interventions, learn about the etiology of disease, or develop methods for diagnostic testing or risk prediction of future events. The peer review process must evaluate the methodology used therein, including use of quantitative statistical methods. In this manuscript, we provide guidance for peer reviewers tasked with assessing quantitative methodology, intended to complement guidelines and recommendations that exist for manuscript authors. We describe components of clinical and translational science research manuscripts that require assessment including study design and hypothesis evaluation, sampling and data acquisition, interventions (for studies that include an intervention), measurement of data, statistical analysis methods, presentation of the study results, and interpretation of the study results. For each component, we describe what reviewers should look for and assess; how reviewers should provide helpful comments for fixable errors or omissions; and how reviewers should communicate uncorrectable and irreparable errors. We then discuss the critical concepts of transparency and acceptance/revision guidelines when communicating with responsible journal editors.

Presentation (obstetrics)

Research Design

10.1017/cts.2023.707

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Citations (0)

Female Disclosure of HIV-Positive Serostatus to Sex Partners: A Two-City Study

Women & Health (2010)

Kathleen M. Sullivan Joachim G. Voss Dongmei Li

Abstract The aims of this article are (1) to describe the prevalence of disclosure of HIV serostatus to sex partners among a racially/ethnically diverse sample of HIV-positive women living in Hawai'i and Seattle, Washington; and (2) to examine factors related to disclosure and condom use with those sex partners. HIV-positive women have difficulties consistently disclosing serostatus to sex partners and using condoms. Little is known about the disclosure practices of women from Hawai'i or Seattle. A cross-sectional design with convenience and snowball sampling was used, and up to three recent sex partner experiences were assessed among the HIV-positive participants (N = 84). A total of 133 recent sex partners were reported, with disclosure and condom use frequencies of 75.2 and 59.9%, respectively. Women who knew when it was safe to disclose were more likely to disclose. Women who disclosed to recent sex partners were less likely to use condoms, while those in casual/anonymous partnerships were more likely to use condoms. Hawaiian/part Hawaiian women had the lowest proportion of condom use. Health care personnel should routinely discuss disclosure and sexual transmission risk behaviors with seropositive women and offer strategies to enhance condom use, especially among those in committed partnerships. Culturally tailored interventions focused on strengthening efficacy beliefs for disclosure and condom use in Native Hawaiians are needed. KEYWORDS: HIV disclosurecondom usesex partner disclosure Notes This study was funded by a grant from the University of Washington Center for Women's Health and Gender Research (NIH 2P30 NR04001). Note. *The difference in totals for different variables are due to missing data. **p < .05. *The difference in totals for different variables is due to missing data. Note. X 2 1 = 11.9, p ≤ 0.001. Note. **Denotes p-value < 0.05. Note. *Denotes p-value < 0.05.

Serostatus

Snowball sampling

Casual

Sex partners

10.1080/03630242.2010.516697

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Citations (25)

RoBGP: A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer

Computers, materials & continua/Computers, materials & continua (Print) (2024)

Xiaohui Cui Chao Song Dongmei Li Xiaolong Qu Jiao Long

Named Entity Recognition (NER) stands as a fundamental task within the field of biomedical text mining, aiming to extract specific types of entities such as genes, proteins, and diseases from complex biomedical texts and categorize them into predefined entity types.This process can provide basic support for the automatic construction of knowledge bases.In contrast to general texts, biomedical texts frequently contain numerous nested entities and local dependencies among these entities, presenting significant challenges to prevailing NER models.To address these issues, we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer (RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial vectors.It then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information, effectively addressing the issue of long-distance dependencies.Furthermore, the Global Pointer model is employed to comprehensively recognize all nested entities in the text.We conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline models.This research confirms the effectiveness of RoBGP in Chinese biomedical NER, providing reliable technical support for biomedical information extraction and knowledge base construction.

10.32604/cmc.2024.047321

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Citations (2)

Development of a Nomogram for Preoperative Prediction of Emergency Peripartum Hysterectomy with Postpartum Haemorrhage: A Chinese-Population-Based Study

Clinical and Experimental Obstetrics & Gynecology (2022)

Xiaobo He Hairui Cai Dongmei Li Junjun Zhou

Objective: To develop and validate a model to predict the incidence of emergency peripartum hysterectomy (EPH) due to postpartum haemorrhage (PPH) from the time of delivery to 6 weeks postpartumin the duration of caesarean section (C-section). Methods: There were 627 patients with PPH including in this retrospective study from 2015 to 2019. Among these patients, 439 patients were divided into the model development group and 188 patients were divided into the validation group. The validation group was constructed for external validation in the usage of bootstrap resampling. The least absolute shrinkage and selection operator (LASSO) regression model was used to reduce the data dimension, and select features and independent risk factors. Results: In total, the incidence rate of PPH and EPH was 7.53% (2145/284,912) and 2.73‰ (78/28,491) among the 28,491 patients with C-section, respectively. The results of LASSO regression indicated that prothrombin time decrease at 60 minutes after C-section (odds ratio (OR) = 1.823, 95% confidence interval (CI): 1.171–2.839) and placenta previa (OR = 5.374, 95% CI: 2.751–10.393) were positively associated with EPH in this study, while gestational age at termination (OR = 0.959, 95% CI: 0.930–0.989) and albumin decrease at 60 minutes after C-section (OR = 0.907, 95% CI: 0.843–0.976) had negative association with EPH. Besides, we found that the C-index was 0.896 for the primary cohort and 0.899 for the validation cohort in the prediction nomogram, respectively. Conclusions: In this retrospective study, an EPH nomogram within several risk factors, which was constructed by LASSO regression, can be contributed to effectively predict the risk of EPH in patients with PPH during C-section. In addition, a significant association is observed between abnormal placenta and peripartum hysterectomy.

Nomogram

Placenta previa

10.31083/j.ceog4908174

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Citations (1)