John Laurentiev

According to our database, John Laurentiev authored at least 10 papers between 1998 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records.

Hao Guan, John Laurentiev, Li Zhou

J. Biomed. Informatics, 2025

Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.

Liqin Wang, John Laurentiev, Claire Cook, Shruthi Srivatsan, Yining Hua, Jie Yang, Eli Miloslavsky, Hyon K. Choi, Li Zhou, Zachary S. Wallace

Int. J. Medical Informatics, 2025

2024

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.

Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong

J. Biomed. Informatics, 2024

2023

Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.

Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong

CoRR, 2023

2022

Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care.

Ania Syrowatka, Lipika Samal, John Laurentiev, Luwei Liu, Azza Omer, Wenyu Song, Michael Sainlaire, Frank Yu Chang, Tien Thai, Li Zhou, David W. Bates, Patricia C. Dykes

Proceedings of the AMIA 2022, 2022

Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes.

John Laurentiev, Avery Pullman, Wenyu Song, Ania Syrowatka, Michael Sainlaire, Frank Yu Chang, Luwei Liu, Li Zhou, Patricia C. Dykes

Proceedings of the AMIA 2022, 2022

Evaluation of a Machine Learning Approach to Identify ADL Impairment in Clinical Notes of People with Dementia.

John Laurentiev, Mufaddal Mahesri, Lily G. Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Dae Hyun Kim, Li Zhou, Joshua Lin

Proceedings of the AMIA 2022, 2022

2021

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Courtney J. Diamond, John Laurentiev, Jie Yang, Amy Wint, Kimberly A. Harris, Tin H. Dang, Amrita Mecker, Emily B. Carpenter, Anna N. A. Tosteson, Adam Wright, Jennifer S. Haas, Steven J. Atlas, Li Zhou

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

Comparison of Machine Learning Algorithms for Earlier Detection of Cognitive Decline from Clinical Notes in the Electronic Health Records.

Liqin Wang, John Laurentiev, Jie Yang, Ying-Chih Lo, Rebecca E. Amariglio, Gad A. Marshall, Li Zhou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

1998

Exploiting Enterprise JavaBeans in the NIIIP virtual enterprise.

Art Goldschmidt, Paul Horstmann, John Laurentiev

Proceedings of the Second International Enterprise Distributed Object Computing Workshop, 1998