Jennifer L. St. Sauver

According to our database, Jennifer L. St. Sauver authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits.

Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn

BMC Medical Informatics Decis. Mak., December, 2024

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions.

Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina Kuttichi Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

J. Biomed. Informatics, 2024

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.

Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn

J. Am. Medical Informatics Assoc., 2024

2023

Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering.

Omar A. Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St Sauver, Sunghwan Sohn

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis.

Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Navigating Sex-Specific Disease Dynamics in Incident Dementia.

Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A hybrid model to identify fall occurrence from electronic health records.

Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, Guilherme S. Lopes, Sandeep R. Pagali, Nathan K. LeBrasseur, Andrew Wen, Hongfang Liu, Walter A. Rocca, Janet E. Olson, Jennifer St. Sauver, Sunghwan Sohn

Int. J. Medical Informatics, 2022

Quality assessment of functional status documentation in EHRs across different healthcare institutions.

Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Sandeep R. Pagali, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

Frontiers Digit. Health, 2022

Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification.

Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Quality Assessment of Functional Status Documentation in EHR Across Institutions.

Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

Proceedings of the AMIA 2022, 2022

2021

The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records.

Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Prediction of Incident Dementia Using Patient Temporal Health Status.

Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering.

Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping.

Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang

Proceedings of the AMIA 2020, 2020

Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis.

Luke A. Carlson, Molly M. Jeffery, Sunyang Fu, Huan He, Rozalina G. McCoy, Yanshan Wang, W. M. Hooten, Jennifer L. St. Sauver, Hongfang Liu, Jungwei Fan

Proceedings of the AMIA 2020, 2020

2019

Early temporal characteristics of elderly patient cognitive impairment in electronic health records.

Somaieh Goudarzvand, Jennifer L. St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee, Sunghwan Sohn

BMC Medical Informatics Decis. Mak., 2019

Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.

Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records.

Yanshan Wang, Andrew Wen, Sijia Liu, Jennifer L. St. Sauver, Adil E. Bharucha, Chunhua Weng, Hongfang Liu

Proceedings of the AMIA 2019, 2019

2018

Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility.

Yiqing Zhao, Yanshan Wang, Henry Wang, Benjamin Yan, Feichen Shen, Kevin J. Peterson, Walter A. Rocca, Jennifer St. Sauver, Hongfang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Analyzing Early Signals of Older Adult Cognitive Impairment in Electronic Health Records.

Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Sunghwan Sohn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Assessment of Patient Falls Identification from Electronic Health Records Using Code- and Text-Based Approaches.

Sunghwan Sohn, Debra J. Jacobson, Chun Fan, Jennifer L. St. Sauver

Proceedings of the AMIA 2018, 2018

2017

Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record.

Pedro J. Caraballo, Joseph A. Sutton, Ann M. Moyer, David Blair, Lois C. Hines, Padma S. Rao, Mark F. Adams, Sahana Murthy, Tina Garza, Mary E. Karow, Harmanjit Singh, Jyothsna Giri, Donald B. Gabrielson, Jennifer St Sauver, Suzette J. Bielinski, Mark A. Parkulo

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Evolving Pharmacogenomics Test Results and the Burden on Clinical Decision Support Integrated in the Electronic Health Record.

Pedro J. Caraballo, Jennifer St Sauver, Daniel J. Cronk, Janet E. Olson, John L. Black, Suzette J. Bielinski

Proceedings of the Summit on Clinical Research Informatics, 2017

Deep Learning Solutions for Classifying Patients on Opioid Use.

Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu

Proceedings of the AMIA 2017, 2017

2015

Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning.

Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014

Research and applications: An electronic health record driven algorithm to identify incident antidepressant medication users.

William V. Bobo, Jyotishman Pathak, Hilal Maradit Kremers, Barbara P. Yawn, Scott M. Brue, Cynthia J. Stoppel, Paul E. Croarkin, Jennifer St Sauver, Mark A. Frye, Walter A. Rocca

J. Am. Medical Informatics Assoc., 2014

Lessons learned from the semantic translation of healthcare data.

Robert W. Techentin, Jennifer St Sauver, Jeanne Huddleston, Barry K. Gilbert, David R. Holmes

Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014