John Laurentiev

11 papers B 1Misc 4Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extracting language information from clinical notes using large language models. Int. J. Medical Informatics Lingfei Qian, Na Hong, Yujia Zhou, Qianqian Xie, Ruey-Ling Weng, Pitchaya Chairuengjitjaras, Xinsong Du, John Lian, Gad A. Marshall, Suzanne V. Blackley, John Laurentiev, Yakeel T. Quiroz, Tae Youn Kim, Nicole Adams, Michelle L. Dossett, Li Zhou, Hua Xu
2025	J	`jnl`	CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records. J. Biomed. Informatics Hao Guan, John Laurentiev, Li Zhou
2025	J	`jnl`	Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records. Int. J. Medical Informatics Liqin Wang, John Laurentiev, Claire Cook, Shruthi Srivatsan, Yining Hua, Jie Yang, Eli Miloslavsky, Hyon K. Choi, Li Zhou, Zachary S. Wallace
2024	J	`jnl`	Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. J. Biomed. Informatics Yifei Wang, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong
2023	J	`jnl`	Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. CoRR Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong
2022	Misc	`conf`	Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes. AMIA John Laurentiev, Avery Pullman, Wenyu Song, Ania Syrowatka, Michael Sainlaire, Frank Yu Chang, Luwei Liu, Li Zhou, Patricia C. Dykes
2022	Misc	`conf`	Evaluation of a Machine Learning Approach to Identify ADL Impairment in Clinical Notes of People with Dementia. AMIA John Laurentiev, Mufaddal Mahesri, Lily G. Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Dae Hyun Kim, Li Zhou, Joshua Lin
2022	Misc	`conf`	Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care. AMIA 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
2021	Misc	`conf`	Comparison of Machine Learning Algorithms for Earlier Detection of Cognitive Decline from Clinical Notes in the Electronic Health Records. AMIA Liqin Wang, John Laurentiev, Jie Yang, Ying-Chih Lo, Rebecca E. Amariglio, Gad A. Marshall, Li Zhou
2021	—	`conf`	Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up. MedInfo Courtney J. Diamond, John Laurentiev, Jie Yang, Amy J. 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
1998	B	`conf`	Exploiting Enterprise JavaBeans in the NIIIP virtual enterprise. EDOC Art Goldschmidt, Paul Horstmann, John Laurentiev