Mei Liu

Mei Liu

University of Kansas

H-index: 31

North America-United States

About Mei Liu

Mei Liu, With an exceptional h-index of 31 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Kansas, specializes in the field of Biomedical Informatics, Artificial Intelligence, Decision Support Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Protein–ligand binding affinity prediction with edge awareness and supervised attention

Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows

Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS …

A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data

Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups

A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

Natural Language Processing for Enterprise-scale De-identification of Protected Health Information in Clinical Notes

Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records

Mei Liu Information

University

Position

Associate Professor, University of Kansas Medical Center

Citations(all)

3472

Citations(since 2020)

1881

Cited By

2186

hIndex(all)

31

hIndex(since 2020)

23

i10Index(all)

51

i10Index(since 2020)

41

Email

University Profile Page

University of Kansas

Google Scholar

View Google Scholar Profile

Mei Liu Skills & Research Interests

Biomedical Informatics

Artificial Intelligence

Decision Support Systems

Top articles of Mei Liu

Title

Journal

Author(s)

Publication Date

Protein–ligand binding affinity prediction with edge awareness and supervised attention

Iscience

Yuliang Gu

Xiangzhou Zhang

Anqi Xu

Weiqi Chen

Kang Liu

...

2023/1/20

Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows

Knowledge-Based Systems

Lijuan Wu

Yong Hu

Xiangzhou Zhang

Borong Yuan

Weiqi Chen

...

2022/6/7

Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS …

Journal of the American Medical Informatics Association

Lemuel R Waitman

Xing Song

Dammika Lakmal Walpitage

Daniel C Connolly

Lav P Patel

...

2022/4

A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data

International Journal of Intelligent Systems

Xiangzhou Zhang

Kang Liu

Borong Yuan

Hongnian Wang

Shaoyong Chen

...

2022/12

Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups

International journal of medical informatics

Lijuan Wu

Yong Hu

Xiangzhou Zhang

Jia Zhang

Mei Liu

2022/2/1

A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

JMIR Medical Informatics

Xiangzhou Zhang

Yunfei Xue

Xinyu Su

Shaoyong Chen

Kang Liu

...

2022/11/9

Natural Language Processing for Enterprise-scale De-identification of Protected Health Information in Clinical Notes

AMIA Summits on Translational Science Proceedings

Jay Urbain

George Kowalski

Kristen Osinski

Robert Spaniol

Mei Liu

...

2022

Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records

JAMA Network Open

Kang Liu

Xiangzhou Zhang

Weiqi Chen

SL Alan

John A Kellum

...

2022/7/1

Antibiotic Timing and Progression to Septic Shock Among Patients in the ED With Suspected Infection

Chest

Roshan Bisarya

Xing Song

John Salle

Mei Liu

Anurag Patel

...

2022/1/1

Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis

International Journal of Medical Informatics

Kang Liu

Borong Yuan

Xiangzhou Zhang

Weiqi Chen

Lav P Patel

...

2022/7/1

Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records

Journal of Clinical Medicine

Ru Wang

Zhuqi Miao

Tieming Liu

Mei Liu

Kristine Grdinovac

...

2021/4/2

Effect of the Affordable Care Act on diabetes care at major health centers: newly detected diabetes and diabetes medication management

BMJ Open Diabetes Research and Care

Al'ona Furmanchuk

Mei Liu

Xing Song

Lemuel R Waitman

John R Meurer

...

2021/12/1

Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes

BMC bioinformatics

Qichao Luo

Shenglong Mo

Yunfei Xue

Xiangzhou Zhang

Yuliang Gu

...

2021/12

EARLY ANTIBIOTICS CAN BOTH PREVENT AND MITIGATE SEPTIC SHOCK IN ED PATIENTS WITH SUSPECTED INFECTION

Chest

Roshan Bisarya

Xing Song

John Salle

Mei Liu

Anurag Patel

...

2021/10/1

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model

Journal of the American Medical Informatics Association

Jingqi Wang

Noor Abu-el-Rub

Josh Gray

Huy Anh Pham

Yujia Zhou

...

2021/6/1

Clinical factors associated with rapid treatment of sepsis

Plos one

Xing Song

Mei Liu

Lemuel R Waitman

Anurag Patel

Steven Q Simpson

2021/5/6

The impact of medical big data anonymization on early acute kidney injury risk prediction

AMIA Summits on Translational Science Proceedings

Xing Song

Lemuel R Waitman

Yong Hu

Bo Luo

Fengjun Li

...

2020

1618: DISCOVERY OF CLINICAL FACTORS ASSOCIATED WITH SUSPECTING INFECTION

Critical Care Medicine

Xing Song

Mei Liu

Lemuel Waitman

Anurag Patel

Sanjay Parashar

...

2020/1/1

Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study

BMC nephrology

Lijuan Wu

Yong Hu

Xiangzhou Zhang

Weiqi Chen

Alan SL Yu

...

2020/12

1584: COMPARISON OF SEVERE SEPSIS AND SOFA FOR PREDICTING OUTCOMES OF ED PATIENTS WITH SUSPECTED INFECTION

Critical Care Medicine

Sanjay Parashar

Xing Song

Mei Liu

Steven Simpson

2020/1/1

See List of Professors in Mei Liu University(University of Kansas)